{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}G:\My Drive\Regimes - Anibal & Natan\PSRM\PSRM Replication Data\replication_log_PreemptiveMultipartism.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}16 Jul 2025, 10:55:13
{txt}
{com}. 
. cd "G:\My Drive\Regimes - Anibal & Natan\PSRM\PSRM Replication Data"
{res}G:\My Drive\Regimes - Anibal & Natan\PSRM\PSRM Replication Data
{txt}
{com}. use "base_Skigin & Pérez-Liñán_PSRM_final.dta", clear
{txt}
{com}. xtset cowcode year
{res}
{col 1}{txt:Panel variable: }{res:cowcode}{txt: (strongly balanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:1945}}{txt: to }{res:{bind:2010}}{p_end}
{txt}{col 10}Delta: {res}1 unit
{txt}
{com}. 
. ** Variables:
. global fordicts    i.legis11 personal
{txt}
{com}. global controls    frag unrest region e_miinterc e_miinteco pgdp gpgdp oilmin popm al_ethnic al_religion age age2 age3
{txt}
{com}. global controlsiv          frag region e_miinterc e_miinteco pgdp gpgdp oilmin popm al_ethnic al_religion
{txt}
{com}. global controls_pre    region e_miinterc e_miinteco pgdp gpgdp oilmin popm al_ethnic al_religion age age2 age3 
{txt}
{com}. global controls_post   frag unrest
{txt}
{com}. global controlsquad    unrest region e_miinterc e_miinteco pgdp gpgdp oilmin popm al_ethnic al_religion age age2 age3
{txt}
{com}. global instruments i.prb45##c.adm_pre1945
{txt}
{com}. global controlsFE    i.legis11 frag unrest personal e_miinterc e_miinteco pgdp gpgdp oilmin popm
{txt}
{com}. global graphspecs graphregion(fcolor(white) lcolor(white) ifcolor(white) ilcolor(white)) ytitle("Risk for regime", s(large)) ylabel(0(.25)1,labs(large)) xtitle(,s(large)) xlabel(,labs(large)) recast(line) recastci(rarea) level(99)
{txt}
{com}. 
. set more off
{txt}
{com}. 
. ************************************************************ Paper's tables ******************************************
. 
. *** Sequence of models
. ** Table 1 : Regime Termination (Geddes, Wright & Frantz)
. eststo clear
{txt}
{com}. * Correct age
. replace age  = age_gwf
{txt}(0 real changes made)

{com}. replace age2 = age2_gwf
{txt}(522 real changes made)

{com}. replace age3 = age3_gwf
{txt}(522 real changes made)

{com}. 
. * 1.1 All Dictatorships, all controls 
. logit end1_gwf  $controls $fordicts c.enph                                      if a_1 == 1

{res}{txt}Iteration 0:{space 2}Log likelihood = {res: -201.1766}  
Iteration 1:{space 2}Log likelihood = {res: -175.6985}  
Iteration 2:{space 2}Log likelihood = {res:-166.84243}  
Iteration 3:{space 2}Log likelihood = {res:-166.47691}  
Iteration 4:{space 2}Log likelihood = {res:-166.47553}  
Iteration 5:{space 2}Log likelihood = {res:-166.47553}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:561}
{txt}{col 57}{lalign 13:LR chi2({res:17})}{col 70} = {res}{ralign 6:69.40}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-166.47553}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.1725}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    end1_gwf{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}frag {c |}{col 14}{res}{space 2} -.271128{col 26}{space 2}  .543806{col 37}{space 1}   -0.50{col 46}{space 3}0.618{col 54}{space 4}-1.336968{col 67}{space 3} .7947122
{txt}{space 6}unrest {c |}{col 14}{res}{space 2} .1080686{col 26}{space 2} .0425271{col 37}{space 1}    2.54{col 46}{space 3}0.011{col 54}{space 4} .0247171{col 67}{space 3} .1914202
{txt}{space 6}region {c |}{col 14}{res}{space 2} 1.659391{col 26}{space 2} 1.180324{col 37}{space 1}    1.41{col 46}{space 3}0.160{col 54}{space 4}-.6540016{col 67}{space 3} 3.972784
{txt}{space 2}e_miinterc {c |}{col 14}{res}{space 2} .6596122{col 26}{space 2} .3392812{col 37}{space 1}    1.94{col 46}{space 3}0.052{col 54}{space 4}-.0053666{col 67}{space 3} 1.324591
{txt}{space 2}e_miinteco {c |}{col 14}{res}{space 2} 1.048457{col 26}{space 2} .7527112{col 37}{space 1}    1.39{col 46}{space 3}0.164{col 54}{space 4}-.4268298{col 67}{space 3} 2.523744
{txt}{space 8}pgdp {c |}{col 14}{res}{space 2}-.2130535{col 26}{space 2} .1233491{col 37}{space 1}   -1.73{col 46}{space 3}0.084{col 54}{space 4}-.4548132{col 67}{space 3} .0287062
{txt}{space 7}gpgdp {c |}{col 14}{res}{space 2}-4.759943{col 26}{space 2} 3.064889{col 37}{space 1}   -1.55{col 46}{space 3}0.120{col 54}{space 4}-10.76701{col 67}{space 3} 1.247129
{txt}{space 6}oilmin {c |}{col 14}{res}{space 2}-.0285882{col 26}{space 2} .4518853{col 37}{space 1}   -0.06{col 46}{space 3}0.950{col 54}{space 4}-.9142671{col 67}{space 3} .8570908
{txt}{space 8}popm {c |}{col 14}{res}{space 2} .0012158{col 26}{space 2} .0127537{col 37}{space 1}    0.10{col 46}{space 3}0.924{col 54}{space 4}-.0237811{col 67}{space 3} .0262126
{txt}{space 3}al_ethnic {c |}{col 14}{res}{space 2}-.4769644{col 26}{space 2} .8660716{col 37}{space 1}   -0.55{col 46}{space 3}0.582{col 54}{space 4}-2.174434{col 67}{space 3} 1.220505
{txt}{space 1}al_religion {c |}{col 14}{res}{space 2}-4.512541{col 26}{space 2} 1.574613{col 37}{space 1}   -2.87{col 46}{space 3}0.004{col 54}{space 4}-7.598726{col 67}{space 3}-1.426357
{txt}{space 9}age {c |}{col 14}{res}{space 2} .0631758{col 26}{space 2} .0845828{col 37}{space 1}    0.75{col 46}{space 3}0.455{col 54}{space 4}-.1026036{col 67}{space 3} .2289551
{txt}{space 8}age2 {c |}{col 14}{res}{space 2}-.0046585{col 26}{space 2} .0045239{col 37}{space 1}   -1.03{col 46}{space 3}0.303{col 54}{space 4}-.0135253{col 67}{space 3} .0042083
{txt}{space 8}age3 {c |}{col 14}{res}{space 2} .0000553{col 26}{space 2} .0000634{col 37}{space 1}    0.87{col 46}{space 3}0.383{col 54}{space 4}-.0000689{col 67}{space 3} .0001795
{txt}{space 3}1.legis11 {c |}{col 14}{res}{space 2}-1.644488{col 26}{space 2} .5638537{col 37}{space 1}   -2.92{col 46}{space 3}0.004{col 54}{space 4}-2.749621{col 67}{space 3}-.5393551
{txt}{space 4}personal {c |}{col 14}{res}{space 2} .4545822{col 26}{space 2} .3897903{col 37}{space 1}    1.17{col 46}{space 3}0.244{col 54}{space 4}-.3093928{col 67}{space 3} 1.218557
{txt}{space 8}enph {c |}{col 14}{res}{space 2} .7222963{col 26}{space 2} .1906339{col 37}{space 1}    3.79{col 46}{space 3}0.000{col 54}{space 4} .3486608{col 67}{space 3} 1.095932
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.9202015{col 26}{space 2} .8510801{col 37}{space 1}   -1.08{col 46}{space 3}0.280{col 54}{space 4}-2.588288{col 67}{space 3} .7478849
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.            estimates store M11
{txt}
{com}. 
. * 1.2 Transitions to dictatorship and democracy, all dictatorships, all controls
. mlogit end2_gwf $controls $fordicts c.enph                                      if a_1 == 1

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-260.09223}  
Iteration 1:{space 2}Log likelihood = {res:-222.67268}  
Iteration 2:{space 2}Log likelihood = {res:-202.32094}  
Iteration 3:{space 2}Log likelihood = {res:-197.32241}  
Iteration 4:{space 2}Log likelihood = {res:-194.65013}  
Iteration 5:{space 2}Log likelihood = {res:-192.02435}  
Iteration 6:{space 2}Log likelihood = {res:-190.36365}  
Iteration 7:{space 2}Log likelihood = {res:-189.40097}  
Iteration 8:{space 2}Log likelihood = {res:-188.70241}  
Iteration 9:{space 2}Log likelihood = {res: -188.5187}  
Iteration 10:{space 1}Log likelihood = {res:-188.03545}  
Iteration 11:{space 1}Log likelihood = {res:-187.87871}  
Iteration 12:{space 1}Log likelihood = {res:-187.85397}  
Iteration 13:{space 1}Log likelihood = {res: -187.8469}  
Iteration 14:{space 1}Log likelihood = {res:-187.84611}  
Iteration 15:{space 1}Log likelihood = {res:-187.84611}  
{res}
{txt}{col 1}Multinomial logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:561}
{txt}{col 57}{lalign 13:LR chi2({res:51})}{col 70} = {res}{ralign 6:144.49}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-187.84611}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.2778}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    end2_gwf{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}0           {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}D__A         {txt}{c |}
{space 8}frag {c |}{col 14}{res}{space 2}-12.94184{col 26}{space 2} 10.84499{col 37}{space 1}   -1.19{col 46}{space 3}0.233{col 54}{space 4}-34.19764{col 67}{space 3} 8.313958
{txt}{space 6}unrest {c |}{col 14}{res}{space 2} .8362492{col 26}{space 2} 1.427104{col 37}{space 1}    0.59{col 46}{space 3}0.558{col 54}{space 4}-1.960823{col 67}{space 3} 3.633321
{txt}{space 6}region {c |}{col 14}{res}{space 2} 33.32357{col 26}{space 2} 59.98391{col 37}{space 1}    0.56{col 46}{space 3}0.579{col 54}{space 4}-84.24273{col 67}{space 3} 150.8899
{txt}{space 2}e_miinterc {c |}{col 14}{res}{space 2}-7.020771{col 26}{space 2} 9.257743{col 37}{space 1}   -0.76{col 46}{space 3}0.448{col 54}{space 4}-25.16561{col 67}{space 3} 11.12407
{txt}{space 2}e_miinteco {c |}{col 14}{res}{space 2}-4.129163{col 26}{space 2} 31960.33{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-62645.23{col 67}{space 3} 62636.97
{txt}{space 8}pgdp {c |}{col 14}{res}{space 2}-31.65346{col 26}{space 2} 31.14406{col 37}{space 1}   -1.02{col 46}{space 3}0.309{col 54}{space 4} -92.6947{col 67}{space 3} 29.38778
{txt}{space 7}gpgdp {c |}{col 14}{res}{space 2}-118.2591{col 26}{space 2} 90.83717{col 37}{space 1}   -1.30{col 46}{space 3}0.193{col 54}{space 4}-296.2967{col 67}{space 3} 59.77849
{txt}{space 6}oilmin {c |}{col 14}{res}{space 2} -34.2618{col 26}{space 2} 21501.73{col 37}{space 1}   -0.00{col 46}{space 3}0.999{col 54}{space 4}-42176.89{col 67}{space 3} 42108.36
{txt}{space 8}popm {c |}{col 14}{res}{space 2}  -6.8473{col 26}{space 2} 8.155397{col 37}{space 1}   -0.84{col 46}{space 3}0.401{col 54}{space 4}-22.83158{col 67}{space 3} 9.136986
{txt}{space 3}al_ethnic {c |}{col 14}{res}{space 2} 61.84554{col 26}{space 2} 54.71019{col 37}{space 1}    1.13{col 46}{space 3}0.258{col 54}{space 4}-45.38445{col 67}{space 3} 169.0755
{txt}{space 1}al_religion {c |}{col 14}{res}{space 2} 106.1216{col 26}{space 2} 86.56921{col 37}{space 1}    1.23{col 46}{space 3}0.220{col 54}{space 4}-63.55095{col 67}{space 3} 275.7941
{txt}{space 9}age {c |}{col 14}{res}{space 2}-6.842797{col 26}{space 2} 11.31411{col 37}{space 1}   -0.60{col 46}{space 3}0.545{col 54}{space 4}-29.01804{col 67}{space 3} 15.33244
{txt}{space 8}age2 {c |}{col 14}{res}{space 2} 1.455509{col 26}{space 2} 2.819057{col 37}{space 1}    0.52{col 46}{space 3}0.606{col 54}{space 4}-4.069741{col 67}{space 3} 6.980758
{txt}{space 8}age3 {c |}{col 14}{res}{space 2}-.0770811{col 26}{space 2}  .187215{col 37}{space 1}   -0.41{col 46}{space 3}0.681{col 54}{space 4}-.4440159{col 67}{space 3} .2898536
{txt}{space 3}1.legis11 {c |}{col 14}{res}{space 2} 9.380681{col 26}{space 2} 8.520543{col 37}{space 1}    1.10{col 46}{space 3}0.271{col 54}{space 4}-7.319277{col 67}{space 3} 26.08064
{txt}{space 4}personal {c |}{col 14}{res}{space 2}-62.70368{col 26}{space 2} 5408.039{col 37}{space 1}   -0.01{col 46}{space 3}0.991{col 54}{space 4}-10662.27{col 67}{space 3} 10536.86
{txt}{space 8}enph {c |}{col 14}{res}{space 2} .9691531{col 26}{space 2} 2.262289{col 37}{space 1}    0.43{col 46}{space 3}0.668{col 54}{space 4}-3.464852{col 67}{space 3} 5.403158
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-25.75672{col 26}{space 2} 27.98213{col 37}{space 1}   -0.92{col 46}{space 3}0.357{col 54}{space 4}-80.60069{col 67}{space 3} 29.08726
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}A__A         {txt}{c |}
{space 8}frag {c |}{col 14}{res}{space 2} .5763963{col 26}{space 2} .7374376{col 37}{space 1}    0.78{col 46}{space 3}0.434{col 54}{space 4}-.8689548{col 67}{space 3} 2.021747
{txt}{space 6}unrest {c |}{col 14}{res}{space 2} .1890325{col 26}{space 2} .0624511{col 37}{space 1}    3.03{col 46}{space 3}0.002{col 54}{space 4} .0666305{col 67}{space 3} .3114345
{txt}{space 6}region {c |}{col 14}{res}{space 2} .6375613{col 26}{space 2} 1.722402{col 37}{space 1}    0.37{col 46}{space 3}0.711{col 54}{space 4}-2.738285{col 67}{space 3} 4.013408
{txt}{space 2}e_miinterc {c |}{col 14}{res}{space 2} 1.414523{col 26}{space 2} .4609127{col 37}{space 1}    3.07{col 46}{space 3}0.002{col 54}{space 4}  .511151{col 67}{space 3} 2.317896
{txt}{space 2}e_miinteco {c |}{col 14}{res}{space 2} .4459514{col 26}{space 2}  1.21524{col 37}{space 1}    0.37{col 46}{space 3}0.714{col 54}{space 4}-1.935875{col 67}{space 3} 2.827778
{txt}{space 8}pgdp {c |}{col 14}{res}{space 2}-.3913257{col 26}{space 2} .2493037{col 37}{space 1}   -1.57{col 46}{space 3}0.116{col 54}{space 4} -.879952{col 67}{space 3} .0973007
{txt}{space 7}gpgdp {c |}{col 14}{res}{space 2}-4.926064{col 26}{space 2} 3.847022{col 37}{space 1}   -1.28{col 46}{space 3}0.200{col 54}{space 4}-12.46609{col 67}{space 3}  2.61396
{txt}{space 6}oilmin {c |}{col 14}{res}{space 2}-.1847157{col 26}{space 2} .6457396{col 37}{space 1}   -0.29{col 46}{space 3}0.775{col 54}{space 4}-1.450342{col 67}{space 3} 1.080911
{txt}{space 8}popm {c |}{col 14}{res}{space 2}-.0929861{col 26}{space 2} .0521754{col 37}{space 1}   -1.78{col 46}{space 3}0.075{col 54}{space 4} -.195248{col 67}{space 3} .0092758
{txt}{space 3}al_ethnic {c |}{col 14}{res}{space 2} .2379254{col 26}{space 2} 1.272597{col 37}{space 1}    0.19{col 46}{space 3}0.852{col 54}{space 4} -2.25632{col 67}{space 3}  2.73217
{txt}{space 1}al_religion {c |}{col 14}{res}{space 2}-4.853361{col 26}{space 2} 2.320996{col 37}{space 1}   -2.09{col 46}{space 3}0.037{col 54}{space 4}-9.402431{col 67}{space 3} -.304292
{txt}{space 9}age {c |}{col 14}{res}{space 2} .1358774{col 26}{space 2} .1237157{col 37}{space 1}    1.10{col 46}{space 3}0.272{col 54}{space 4} -.106601{col 67}{space 3} .3783557
{txt}{space 8}age2 {c |}{col 14}{res}{space 2}-.0110957{col 26}{space 2} .0071865{col 37}{space 1}   -1.54{col 46}{space 3}0.123{col 54}{space 4} -.025181{col 67}{space 3} .0029895
{txt}{space 8}age3 {c |}{col 14}{res}{space 2} .0001822{col 26}{space 2} .0001115{col 37}{space 1}    1.63{col 46}{space 3}0.102{col 54}{space 4}-.0000362{col 67}{space 3} .0004007
{txt}{space 3}1.legis11 {c |}{col 14}{res}{space 2}-1.161907{col 26}{space 2} .7675846{col 37}{space 1}   -1.51{col 46}{space 3}0.130{col 54}{space 4}-2.666345{col 67}{space 3} .3425314
{txt}{space 4}personal {c |}{col 14}{res}{space 2} .9154612{col 26}{space 2} .4993881{col 37}{space 1}    1.83{col 46}{space 3}0.067{col 54}{space 4}-.0633215{col 67}{space 3} 1.894244
{txt}{space 8}enph {c |}{col 14}{res}{space 2} .2957443{col 26}{space 2} .2896015{col 37}{space 1}    1.02{col 46}{space 3}0.307{col 54}{space 4}-.2718641{col 67}{space 3} .8633528
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -1.14251{col 26}{space 2} 1.180381{col 37}{space 1}   -0.97{col 46}{space 3}0.333{col 54}{space 4}-3.456014{col 67}{space 3} 1.170993
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}A__D         {txt}{c |}
{space 8}frag {c |}{col 14}{res}{space 2}-.6730346{col 26}{space 2} .9139991{col 37}{space 1}   -0.74{col 46}{space 3}0.462{col 54}{space 4} -2.46444{col 67}{space 3} 1.118371
{txt}{space 6}unrest {c |}{col 14}{res}{space 2} .0461519{col 26}{space 2} .0610796{col 37}{space 1}    0.76{col 46}{space 3}0.450{col 54}{space 4} -.073562{col 67}{space 3} .1658658
{txt}{space 6}region {c |}{col 14}{res}{space 2} 3.974067{col 26}{space 2} 1.763108{col 37}{space 1}    2.25{col 46}{space 3}0.024{col 54}{space 4} .5184393{col 67}{space 3} 7.429694
{txt}{space 2}e_miinterc {c |}{col 14}{res}{space 2} -.120516{col 26}{space 2}  .592652{col 37}{space 1}   -0.20{col 46}{space 3}0.839{col 54}{space 4}-1.282093{col 67}{space 3} 1.041061
{txt}{space 2}e_miinteco {c |}{col 14}{res}{space 2} 1.724335{col 26}{space 2} .9236741{col 37}{space 1}    1.87{col 46}{space 3}0.062{col 54}{space 4}-.0860333{col 67}{space 3} 3.534702
{txt}{space 8}pgdp {c |}{col 14}{res}{space 2}-.0481435{col 26}{space 2} .1510497{col 37}{space 1}   -0.32{col 46}{space 3}0.750{col 54}{space 4}-.3441955{col 67}{space 3} .2479085
{txt}{space 7}gpgdp {c |}{col 14}{res}{space 2} 3.086686{col 26}{space 2} 5.194469{col 37}{space 1}    0.59{col 46}{space 3}0.552{col 54}{space 4}-7.094287{col 67}{space 3} 13.26766
{txt}{space 6}oilmin {c |}{col 14}{res}{space 2}-.1097016{col 26}{space 2} .6511587{col 37}{space 1}   -0.17{col 46}{space 3}0.866{col 54}{space 4}-1.385949{col 67}{space 3} 1.166546
{txt}{space 8}popm {c |}{col 14}{res}{space 2} .0203597{col 26}{space 2}   .01343{col 37}{space 1}    1.52{col 46}{space 3}0.130{col 54}{space 4}-.0059626{col 67}{space 3} .0466819
{txt}{space 3}al_ethnic {c |}{col 14}{res}{space 2}-.9122432{col 26}{space 2} 1.331222{col 37}{space 1}   -0.69{col 46}{space 3}0.493{col 54}{space 4} -3.52139{col 67}{space 3} 1.696904
{txt}{space 1}al_religion {c |}{col 14}{res}{space 2}-8.374174{col 26}{space 2} 2.644044{col 37}{space 1}   -3.17{col 46}{space 3}0.002{col 54}{space 4}-13.55641{col 67}{space 3}-3.191943
{txt}{space 9}age {c |}{col 14}{res}{space 2} .2326017{col 26}{space 2} .1466846{col 37}{space 1}    1.59{col 46}{space 3}0.113{col 54}{space 4}-.0548948{col 67}{space 3} .5200981
{txt}{space 8}age2 {c |}{col 14}{res}{space 2} -.011436{col 26}{space 2} .0086067{col 37}{space 1}   -1.33{col 46}{space 3}0.184{col 54}{space 4}-.0283049{col 67}{space 3} .0054329
{txt}{space 8}age3 {c |}{col 14}{res}{space 2} .0001062{col 26}{space 2} .0001305{col 37}{space 1}    0.81{col 46}{space 3}0.416{col 54}{space 4}-.0001496{col 67}{space 3} .0003621
{txt}{space 3}1.legis11 {c |}{col 14}{res}{space 2}-2.863476{col 26}{space 2}  .946702{col 37}{space 1}   -3.02{col 46}{space 3}0.002{col 54}{space 4}-4.718978{col 67}{space 3}-1.007974
{txt}{space 4}personal {c |}{col 14}{res}{space 2}-.0489118{col 26}{space 2} .7274338{col 37}{space 1}   -0.07{col 46}{space 3}0.946{col 54}{space 4}-1.474656{col 67}{space 3} 1.376832
{txt}{space 8}enph {c |}{col 14}{res}{space 2} 1.193429{col 26}{space 2} .3258062{col 37}{space 1}    3.66{col 46}{space 3}0.000{col 54}{space 4} .5548606{col 67}{space 3} 1.831997
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-2.147059{col 26}{space 2} 1.300618{col 37}{space 1}   -1.65{col 46}{space 3}0.099{col 54}{space 4}-4.696224{col 67}{space 3}  .402106
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         estimates store M12
{txt}
{com}. 
. * 1.3 Multinomial logit effect on type of democratization          
. logit gwf_topdown  $controls $fordicts c.enph                                      if a_1 == 1

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-74.635222}  
Iteration 1:{space 2}Log likelihood = {res: -71.13274}  
Iteration 2:{space 2}Log likelihood = {res:-59.451811}  
Iteration 3:{space 2}Log likelihood = {res:-58.165385}  
Iteration 4:{space 2}Log likelihood = {res:-58.026567}  
Iteration 5:{space 2}Log likelihood = {res:-57.976773}  
Iteration 6:{space 2}Log likelihood = {res:-57.743295}  
Iteration 7:{space 2}Log likelihood = {res:-57.698611}  
Iteration 8:{space 2}Log likelihood = {res: -57.69788}  
Iteration 9:{space 2}Log likelihood = {res:-57.697879}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:513}
{txt}{col 57}{lalign 13:LR chi2({res:17})}{col 70} = {res}{ralign 6:33.87}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0087}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-57.697879}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.2269}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} gwf_topdown{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}frag {c |}{col 14}{res}{space 2} .7781337{col 26}{space 2}  1.14684{col 37}{space 1}    0.68{col 46}{space 3}0.497{col 54}{space 4}-1.469632{col 67}{space 3} 3.025899
{txt}{space 6}unrest {c |}{col 14}{res}{space 2} -.017576{col 26}{space 2} .0838703{col 37}{space 1}   -0.21{col 46}{space 3}0.834{col 54}{space 4}-.1819586{col 67}{space 3} .1468067
{txt}{space 6}region {c |}{col 14}{res}{space 2} 1.496688{col 26}{space 2} 2.268517{col 37}{space 1}    0.66{col 46}{space 3}0.509{col 54}{space 4}-2.949523{col 67}{space 3} 5.942898
{txt}{space 2}e_miinterc {c |}{col 14}{res}{space 2}-.7783749{col 26}{space 2} .8708227{col 37}{space 1}   -0.89{col 46}{space 3}0.371{col 54}{space 4}-2.485156{col 67}{space 3} .9284064
{txt}{space 2}e_miinteco {c |}{col 14}{res}{space 2} .4886254{col 26}{space 2} 1.433105{col 37}{space 1}    0.34{col 46}{space 3}0.733{col 54}{space 4}-2.320208{col 67}{space 3} 3.297459
{txt}{space 8}pgdp {c |}{col 14}{res}{space 2} .0423611{col 26}{space 2} .1785543{col 37}{space 1}    0.24{col 46}{space 3}0.812{col 54}{space 4}-.3075989{col 67}{space 3} .3923211
{txt}{space 7}gpgdp {c |}{col 14}{res}{space 2} 4.459871{col 26}{space 2} 6.583559{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-8.443667{col 67}{space 3} 17.36341
{txt}{space 6}oilmin {c |}{col 14}{res}{space 2}-.4989163{col 26}{space 2} .8662004{col 37}{space 1}   -0.58{col 46}{space 3}0.565{col 54}{space 4}-2.196638{col 67}{space 3} 1.198805
{txt}{space 8}popm {c |}{col 14}{res}{space 2} .0298863{col 26}{space 2} .0150543{col 37}{space 1}    1.99{col 46}{space 3}0.047{col 54}{space 4} .0003805{col 67}{space 3} .0593922
{txt}{space 3}al_ethnic {c |}{col 14}{res}{space 2}-1.478905{col 26}{space 2} 1.628124{col 37}{space 1}   -0.91{col 46}{space 3}0.364{col 54}{space 4}-4.669969{col 67}{space 3} 1.712158
{txt}{space 1}al_religion {c |}{col 14}{res}{space 2}-10.06275{col 26}{space 2}  3.41471{col 37}{space 1}   -2.95{col 46}{space 3}0.003{col 54}{space 4}-16.75545{col 67}{space 3}-3.370037
{txt}{space 9}age {c |}{col 14}{res}{space 2} .2929361{col 26}{space 2} .4313006{col 37}{space 1}    0.68{col 46}{space 3}0.497{col 54}{space 4}-.5523975{col 67}{space 3}  1.13827
{txt}{space 8}age2 {c |}{col 14}{res}{space 2} .0028681{col 26}{space 2}  .047366{col 37}{space 1}    0.06{col 46}{space 3}0.952{col 54}{space 4}-.0899675{col 67}{space 3} .0957037
{txt}{space 8}age3 {c |}{col 14}{res}{space 2}-.0006949{col 26}{space 2} .0014562{col 37}{space 1}   -0.48{col 46}{space 3}0.633{col 54}{space 4}-.0035491{col 67}{space 3} .0021592
{txt}{space 3}1.legis11 {c |}{col 14}{res}{space 2}-2.875654{col 26}{space 2} 1.249499{col 37}{space 1}   -2.30{col 46}{space 3}0.021{col 54}{space 4}-5.324627{col 67}{space 3}-.4266821
{txt}{space 4}personal {c |}{col 14}{res}{space 2}   .56855{col 26}{space 2}  .873165{col 37}{space 1}    0.65{col 46}{space 3}0.515{col 54}{space 4}-1.142822{col 67}{space 3} 2.279922
{txt}{space 8}enph {c |}{col 14}{res}{space 2} 1.017544{col 26}{space 2} .4992646{col 37}{space 1}    2.04{col 46}{space 3}0.042{col 54}{space 4} .0390036{col 67}{space 3} 1.996085
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-1.787718{col 26}{space 2} 1.948991{col 37}{space 1}   -0.92{col 46}{space 3}0.359{col 54}{space 4}-5.607671{col 67}{space 3} 2.032235
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 56 failures and 0 successes completely determined.{p_end}

{com}.                 estimates store M13
{txt}
{com}. 
.               
. * Table 1
. esttab M11 M12 M13 using "G:\My Drive\Regimes - Anibal & Natan\PSRM\PSRM Replication Data\Table1.rtf", cell(b(star fmt (%9.2f)) se(par)) ///
>        uns drop(: 0.legis11 0: D__A:)  ///
>        stats(N ll, fmt(%9.0g %9.3f) labels("N" "Log-L"))starlevels(* 0.05 ** 0.01) ///
>            o(enph 1.legis11 personal $controls ) ///
>            legend label varlabels(_cons Constant) title("Table 1. Regime Termination (Geddes, Wright & Frantz)") mtitles replace
{res}{txt}(output written to {browse  `"G:\My Drive\Regimes - Anibal & Natan\PSRM\PSRM Replication Data\Table1.rtf"'})

{com}.    
. ** Calculate effect in SDs for Model 1.1
. logit end1_gwf $controls $fordicts c.enph if a_1 == 1

{res}{txt}Iteration 0:{space 2}Log likelihood = {res: -201.1766}  
Iteration 1:{space 2}Log likelihood = {res: -175.6985}  
Iteration 2:{space 2}Log likelihood = {res:-166.84243}  
Iteration 3:{space 2}Log likelihood = {res:-166.47691}  
Iteration 4:{space 2}Log likelihood = {res:-166.47553}  
Iteration 5:{space 2}Log likelihood = {res:-166.47553}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:561}
{txt}{col 57}{lalign 13:LR chi2({res:17})}{col 70} = {res}{ralign 6:69.40}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-166.47553}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.1725}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    end1_gwf{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}frag {c |}{col 14}{res}{space 2} -.271128{col 26}{space 2}  .543806{col 37}{space 1}   -0.50{col 46}{space 3}0.618{col 54}{space 4}-1.336968{col 67}{space 3} .7947122
{txt}{space 6}unrest {c |}{col 14}{res}{space 2} .1080686{col 26}{space 2} .0425271{col 37}{space 1}    2.54{col 46}{space 3}0.011{col 54}{space 4} .0247171{col 67}{space 3} .1914202
{txt}{space 6}region {c |}{col 14}{res}{space 2} 1.659391{col 26}{space 2} 1.180324{col 37}{space 1}    1.41{col 46}{space 3}0.160{col 54}{space 4}-.6540016{col 67}{space 3} 3.972784
{txt}{space 2}e_miinterc {c |}{col 14}{res}{space 2} .6596122{col 26}{space 2} .3392812{col 37}{space 1}    1.94{col 46}{space 3}0.052{col 54}{space 4}-.0053666{col 67}{space 3} 1.324591
{txt}{space 2}e_miinteco {c |}{col 14}{res}{space 2} 1.048457{col 26}{space 2} .7527112{col 37}{space 1}    1.39{col 46}{space 3}0.164{col 54}{space 4}-.4268298{col 67}{space 3} 2.523744
{txt}{space 8}pgdp {c |}{col 14}{res}{space 2}-.2130535{col 26}{space 2} .1233491{col 37}{space 1}   -1.73{col 46}{space 3}0.084{col 54}{space 4}-.4548132{col 67}{space 3} .0287062
{txt}{space 7}gpgdp {c |}{col 14}{res}{space 2}-4.759943{col 26}{space 2} 3.064889{col 37}{space 1}   -1.55{col 46}{space 3}0.120{col 54}{space 4}-10.76701{col 67}{space 3} 1.247129
{txt}{space 6}oilmin {c |}{col 14}{res}{space 2}-.0285882{col 26}{space 2} .4518853{col 37}{space 1}   -0.06{col 46}{space 3}0.950{col 54}{space 4}-.9142671{col 67}{space 3} .8570908
{txt}{space 8}popm {c |}{col 14}{res}{space 2} .0012158{col 26}{space 2} .0127537{col 37}{space 1}    0.10{col 46}{space 3}0.924{col 54}{space 4}-.0237811{col 67}{space 3} .0262126
{txt}{space 3}al_ethnic {c |}{col 14}{res}{space 2}-.4769644{col 26}{space 2} .8660716{col 37}{space 1}   -0.55{col 46}{space 3}0.582{col 54}{space 4}-2.174434{col 67}{space 3} 1.220505
{txt}{space 1}al_religion {c |}{col 14}{res}{space 2}-4.512541{col 26}{space 2} 1.574613{col 37}{space 1}   -2.87{col 46}{space 3}0.004{col 54}{space 4}-7.598726{col 67}{space 3}-1.426357
{txt}{space 9}age {c |}{col 14}{res}{space 2} .0631758{col 26}{space 2} .0845828{col 37}{space 1}    0.75{col 46}{space 3}0.455{col 54}{space 4}-.1026036{col 67}{space 3} .2289551
{txt}{space 8}age2 {c |}{col 14}{res}{space 2}-.0046585{col 26}{space 2} .0045239{col 37}{space 1}   -1.03{col 46}{space 3}0.303{col 54}{space 4}-.0135253{col 67}{space 3} .0042083
{txt}{space 8}age3 {c |}{col 14}{res}{space 2} .0000553{col 26}{space 2} .0000634{col 37}{space 1}    0.87{col 46}{space 3}0.383{col 54}{space 4}-.0000689{col 67}{space 3} .0001795
{txt}{space 3}1.legis11 {c |}{col 14}{res}{space 2}-1.644488{col 26}{space 2} .5638537{col 37}{space 1}   -2.92{col 46}{space 3}0.004{col 54}{space 4}-2.749621{col 67}{space 3}-.5393551
{txt}{space 4}personal {c |}{col 14}{res}{space 2} .4545822{col 26}{space 2} .3897903{col 37}{space 1}    1.17{col 46}{space 3}0.244{col 54}{space 4}-.3093928{col 67}{space 3} 1.218557
{txt}{space 8}enph {c |}{col 14}{res}{space 2} .7222963{col 26}{space 2} .1906339{col 37}{space 1}    3.79{col 46}{space 3}0.000{col 54}{space 4} .3486608{col 67}{space 3} 1.095932
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.9202015{col 26}{space 2} .8510801{col 37}{space 1}   -1.08{col 46}{space 3}0.280{col 54}{space 4}-2.588288{col 67}{space 3} .7478849
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. summarize enph if a_1 == 1

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 8}enph {c |}{res}        579      1.2033    1.164948          0   6.340858
{txt}
{com}. local sd = r(sd)
{txt}
{com}. local mn = r(mean)
{txt}
{com}. margins, at(enph = (`mn' `=`mn'+`sd'')) post
{res}
{txt}{col 1}Predictive margins{col 60}{lalign 13:Number of obs}{col 73} = {res}{ralign 3:561}
{txt}{col 1}Model VCE: {res:OIM}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Pr(end1_gwf), predict()}{p_end}
{p2colreset}{...}
{lalign 7:1._at: }{space 0}{lalign 4:enph} = {res:{ralign 8:1.2033}}
{lalign 7:2._at: }{space 0}{lalign 4:enph} = {res:{ralign 8:2.368248}}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .1231929{col 26}{space 2} .0151241{col 37}{space 1}    8.15{col 46}{space 3}0.000{col 54}{space 4} .0935502{col 67}{space 3} .1528357
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .2169729{col 26}{space 2} .0383635{col 37}{space 1}    5.66{col 46}{space 3}0.000{col 54}{space 4} .1417819{col 67}{space 3} .2921639
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mat b = r(b)
{txt}
{com}. di "Effect of 1 SD increase in ENPH: " b[1,2] - b[1,1]
{res}Effect of 1 SD increase in ENPH: .09377996
{txt}
{com}.            
. ** Calculate effect in SDs for Model 1.2 (A-D)
. * Step 1: Estimate the multinomial logit model
. mlogit end2_gwf $controls $fordicts c.enph if a_1 == 1

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-260.09223}  
Iteration 1:{space 2}Log likelihood = {res:-222.67268}  
Iteration 2:{space 2}Log likelihood = {res:-202.32094}  
Iteration 3:{space 2}Log likelihood = {res:-197.32241}  
Iteration 4:{space 2}Log likelihood = {res:-194.65013}  
Iteration 5:{space 2}Log likelihood = {res:-192.02435}  
Iteration 6:{space 2}Log likelihood = {res:-190.36365}  
Iteration 7:{space 2}Log likelihood = {res:-189.40097}  
Iteration 8:{space 2}Log likelihood = {res:-188.70241}  
Iteration 9:{space 2}Log likelihood = {res: -188.5187}  
Iteration 10:{space 1}Log likelihood = {res:-188.03545}  
Iteration 11:{space 1}Log likelihood = {res:-187.87871}  
Iteration 12:{space 1}Log likelihood = {res:-187.85397}  
Iteration 13:{space 1}Log likelihood = {res: -187.8469}  
Iteration 14:{space 1}Log likelihood = {res:-187.84611}  
Iteration 15:{space 1}Log likelihood = {res:-187.84611}  
{res}
{txt}{col 1}Multinomial logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:561}
{txt}{col 57}{lalign 13:LR chi2({res:51})}{col 70} = {res}{ralign 6:144.49}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-187.84611}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.2778}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    end2_gwf{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}0           {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}D__A         {txt}{c |}
{space 8}frag {c |}{col 14}{res}{space 2}-12.94184{col 26}{space 2} 10.84499{col 37}{space 1}   -1.19{col 46}{space 3}0.233{col 54}{space 4}-34.19764{col 67}{space 3} 8.313958
{txt}{space 6}unrest {c |}{col 14}{res}{space 2} .8362492{col 26}{space 2} 1.427104{col 37}{space 1}    0.59{col 46}{space 3}0.558{col 54}{space 4}-1.960823{col 67}{space 3} 3.633321
{txt}{space 6}region {c |}{col 14}{res}{space 2} 33.32357{col 26}{space 2} 59.98391{col 37}{space 1}    0.56{col 46}{space 3}0.579{col 54}{space 4}-84.24273{col 67}{space 3} 150.8899
{txt}{space 2}e_miinterc {c |}{col 14}{res}{space 2}-7.020771{col 26}{space 2} 9.257743{col 37}{space 1}   -0.76{col 46}{space 3}0.448{col 54}{space 4}-25.16561{col 67}{space 3} 11.12407
{txt}{space 2}e_miinteco {c |}{col 14}{res}{space 2}-4.129163{col 26}{space 2} 31960.33{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-62645.23{col 67}{space 3} 62636.97
{txt}{space 8}pgdp {c |}{col 14}{res}{space 2}-31.65346{col 26}{space 2} 31.14406{col 37}{space 1}   -1.02{col 46}{space 3}0.309{col 54}{space 4} -92.6947{col 67}{space 3} 29.38778
{txt}{space 7}gpgdp {c |}{col 14}{res}{space 2}-118.2591{col 26}{space 2} 90.83717{col 37}{space 1}   -1.30{col 46}{space 3}0.193{col 54}{space 4}-296.2967{col 67}{space 3} 59.77849
{txt}{space 6}oilmin {c |}{col 14}{res}{space 2} -34.2618{col 26}{space 2} 21501.73{col 37}{space 1}   -0.00{col 46}{space 3}0.999{col 54}{space 4}-42176.89{col 67}{space 3} 42108.36
{txt}{space 8}popm {c |}{col 14}{res}{space 2}  -6.8473{col 26}{space 2} 8.155397{col 37}{space 1}   -0.84{col 46}{space 3}0.401{col 54}{space 4}-22.83158{col 67}{space 3} 9.136986
{txt}{space 3}al_ethnic {c |}{col 14}{res}{space 2} 61.84554{col 26}{space 2} 54.71019{col 37}{space 1}    1.13{col 46}{space 3}0.258{col 54}{space 4}-45.38445{col 67}{space 3} 169.0755
{txt}{space 1}al_religion {c |}{col 14}{res}{space 2} 106.1216{col 26}{space 2} 86.56921{col 37}{space 1}    1.23{col 46}{space 3}0.220{col 54}{space 4}-63.55095{col 67}{space 3} 275.7941
{txt}{space 9}age {c |}{col 14}{res}{space 2}-6.842797{col 26}{space 2} 11.31411{col 37}{space 1}   -0.60{col 46}{space 3}0.545{col 54}{space 4}-29.01804{col 67}{space 3} 15.33244
{txt}{space 8}age2 {c |}{col 14}{res}{space 2} 1.455509{col 26}{space 2} 2.819057{col 37}{space 1}    0.52{col 46}{space 3}0.606{col 54}{space 4}-4.069741{col 67}{space 3} 6.980758
{txt}{space 8}age3 {c |}{col 14}{res}{space 2}-.0770811{col 26}{space 2}  .187215{col 37}{space 1}   -0.41{col 46}{space 3}0.681{col 54}{space 4}-.4440159{col 67}{space 3} .2898536
{txt}{space 3}1.legis11 {c |}{col 14}{res}{space 2} 9.380681{col 26}{space 2} 8.520543{col 37}{space 1}    1.10{col 46}{space 3}0.271{col 54}{space 4}-7.319277{col 67}{space 3} 26.08064
{txt}{space 4}personal {c |}{col 14}{res}{space 2}-62.70368{col 26}{space 2} 5408.039{col 37}{space 1}   -0.01{col 46}{space 3}0.991{col 54}{space 4}-10662.27{col 67}{space 3} 10536.86
{txt}{space 8}enph {c |}{col 14}{res}{space 2} .9691531{col 26}{space 2} 2.262289{col 37}{space 1}    0.43{col 46}{space 3}0.668{col 54}{space 4}-3.464852{col 67}{space 3} 5.403158
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-25.75672{col 26}{space 2} 27.98213{col 37}{space 1}   -0.92{col 46}{space 3}0.357{col 54}{space 4}-80.60069{col 67}{space 3} 29.08726
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}A__A         {txt}{c |}
{space 8}frag {c |}{col 14}{res}{space 2} .5763963{col 26}{space 2} .7374376{col 37}{space 1}    0.78{col 46}{space 3}0.434{col 54}{space 4}-.8689548{col 67}{space 3} 2.021747
{txt}{space 6}unrest {c |}{col 14}{res}{space 2} .1890325{col 26}{space 2} .0624511{col 37}{space 1}    3.03{col 46}{space 3}0.002{col 54}{space 4} .0666305{col 67}{space 3} .3114345
{txt}{space 6}region {c |}{col 14}{res}{space 2} .6375613{col 26}{space 2} 1.722402{col 37}{space 1}    0.37{col 46}{space 3}0.711{col 54}{space 4}-2.738285{col 67}{space 3} 4.013408
{txt}{space 2}e_miinterc {c |}{col 14}{res}{space 2} 1.414523{col 26}{space 2} .4609127{col 37}{space 1}    3.07{col 46}{space 3}0.002{col 54}{space 4}  .511151{col 67}{space 3} 2.317896
{txt}{space 2}e_miinteco {c |}{col 14}{res}{space 2} .4459514{col 26}{space 2}  1.21524{col 37}{space 1}    0.37{col 46}{space 3}0.714{col 54}{space 4}-1.935875{col 67}{space 3} 2.827778
{txt}{space 8}pgdp {c |}{col 14}{res}{space 2}-.3913257{col 26}{space 2} .2493037{col 37}{space 1}   -1.57{col 46}{space 3}0.116{col 54}{space 4} -.879952{col 67}{space 3} .0973007
{txt}{space 7}gpgdp {c |}{col 14}{res}{space 2}-4.926064{col 26}{space 2} 3.847022{col 37}{space 1}   -1.28{col 46}{space 3}0.200{col 54}{space 4}-12.46609{col 67}{space 3}  2.61396
{txt}{space 6}oilmin {c |}{col 14}{res}{space 2}-.1847157{col 26}{space 2} .6457396{col 37}{space 1}   -0.29{col 46}{space 3}0.775{col 54}{space 4}-1.450342{col 67}{space 3} 1.080911
{txt}{space 8}popm {c |}{col 14}{res}{space 2}-.0929861{col 26}{space 2} .0521754{col 37}{space 1}   -1.78{col 46}{space 3}0.075{col 54}{space 4} -.195248{col 67}{space 3} .0092758
{txt}{space 3}al_ethnic {c |}{col 14}{res}{space 2} .2379254{col 26}{space 2} 1.272597{col 37}{space 1}    0.19{col 46}{space 3}0.852{col 54}{space 4} -2.25632{col 67}{space 3}  2.73217
{txt}{space 1}al_religion {c |}{col 14}{res}{space 2}-4.853361{col 26}{space 2} 2.320996{col 37}{space 1}   -2.09{col 46}{space 3}0.037{col 54}{space 4}-9.402431{col 67}{space 3} -.304292
{txt}{space 9}age {c |}{col 14}{res}{space 2} .1358774{col 26}{space 2} .1237157{col 37}{space 1}    1.10{col 46}{space 3}0.272{col 54}{space 4} -.106601{col 67}{space 3} .3783557
{txt}{space 8}age2 {c |}{col 14}{res}{space 2}-.0110957{col 26}{space 2} .0071865{col 37}{space 1}   -1.54{col 46}{space 3}0.123{col 54}{space 4} -.025181{col 67}{space 3} .0029895
{txt}{space 8}age3 {c |}{col 14}{res}{space 2} .0001822{col 26}{space 2} .0001115{col 37}{space 1}    1.63{col 46}{space 3}0.102{col 54}{space 4}-.0000362{col 67}{space 3} .0004007
{txt}{space 3}1.legis11 {c |}{col 14}{res}{space 2}-1.161907{col 26}{space 2} .7675846{col 37}{space 1}   -1.51{col 46}{space 3}0.130{col 54}{space 4}-2.666345{col 67}{space 3} .3425314
{txt}{space 4}personal {c |}{col 14}{res}{space 2} .9154612{col 26}{space 2} .4993881{col 37}{space 1}    1.83{col 46}{space 3}0.067{col 54}{space 4}-.0633215{col 67}{space 3} 1.894244
{txt}{space 8}enph {c |}{col 14}{res}{space 2} .2957443{col 26}{space 2} .2896015{col 37}{space 1}    1.02{col 46}{space 3}0.307{col 54}{space 4}-.2718641{col 67}{space 3} .8633528
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -1.14251{col 26}{space 2} 1.180381{col 37}{space 1}   -0.97{col 46}{space 3}0.333{col 54}{space 4}-3.456014{col 67}{space 3} 1.170993
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}A__D         {txt}{c |}
{space 8}frag {c |}{col 14}{res}{space 2}-.6730346{col 26}{space 2} .9139991{col 37}{space 1}   -0.74{col 46}{space 3}0.462{col 54}{space 4} -2.46444{col 67}{space 3} 1.118371
{txt}{space 6}unrest {c |}{col 14}{res}{space 2} .0461519{col 26}{space 2} .0610796{col 37}{space 1}    0.76{col 46}{space 3}0.450{col 54}{space 4} -.073562{col 67}{space 3} .1658658
{txt}{space 6}region {c |}{col 14}{res}{space 2} 3.974067{col 26}{space 2} 1.763108{col 37}{space 1}    2.25{col 46}{space 3}0.024{col 54}{space 4} .5184393{col 67}{space 3} 7.429694
{txt}{space 2}e_miinterc {c |}{col 14}{res}{space 2} -.120516{col 26}{space 2}  .592652{col 37}{space 1}   -0.20{col 46}{space 3}0.839{col 54}{space 4}-1.282093{col 67}{space 3} 1.041061
{txt}{space 2}e_miinteco {c |}{col 14}{res}{space 2} 1.724335{col 26}{space 2} .9236741{col 37}{space 1}    1.87{col 46}{space 3}0.062{col 54}{space 4}-.0860333{col 67}{space 3} 3.534702
{txt}{space 8}pgdp {c |}{col 14}{res}{space 2}-.0481435{col 26}{space 2} .1510497{col 37}{space 1}   -0.32{col 46}{space 3}0.750{col 54}{space 4}-.3441955{col 67}{space 3} .2479085
{txt}{space 7}gpgdp {c |}{col 14}{res}{space 2} 3.086686{col 26}{space 2} 5.194469{col 37}{space 1}    0.59{col 46}{space 3}0.552{col 54}{space 4}-7.094287{col 67}{space 3} 13.26766
{txt}{space 6}oilmin {c |}{col 14}{res}{space 2}-.1097016{col 26}{space 2} .6511587{col 37}{space 1}   -0.17{col 46}{space 3}0.866{col 54}{space 4}-1.385949{col 67}{space 3} 1.166546
{txt}{space 8}popm {c |}{col 14}{res}{space 2} .0203597{col 26}{space 2}   .01343{col 37}{space 1}    1.52{col 46}{space 3}0.130{col 54}{space 4}-.0059626{col 67}{space 3} .0466819
{txt}{space 3}al_ethnic {c |}{col 14}{res}{space 2}-.9122432{col 26}{space 2} 1.331222{col 37}{space 1}   -0.69{col 46}{space 3}0.493{col 54}{space 4} -3.52139{col 67}{space 3} 1.696904
{txt}{space 1}al_religion {c |}{col 14}{res}{space 2}-8.374174{col 26}{space 2} 2.644044{col 37}{space 1}   -3.17{col 46}{space 3}0.002{col 54}{space 4}-13.55641{col 67}{space 3}-3.191943
{txt}{space 9}age {c |}{col 14}{res}{space 2} .2326017{col 26}{space 2} .1466846{col 37}{space 1}    1.59{col 46}{space 3}0.113{col 54}{space 4}-.0548948{col 67}{space 3} .5200981
{txt}{space 8}age2 {c |}{col 14}{res}{space 2} -.011436{col 26}{space 2} .0086067{col 37}{space 1}   -1.33{col 46}{space 3}0.184{col 54}{space 4}-.0283049{col 67}{space 3} .0054329
{txt}{space 8}age3 {c |}{col 14}{res}{space 2} .0001062{col 26}{space 2} .0001305{col 37}{space 1}    0.81{col 46}{space 3}0.416{col 54}{space 4}-.0001496{col 67}{space 3} .0003621
{txt}{space 3}1.legis11 {c |}{col 14}{res}{space 2}-2.863476{col 26}{space 2}  .946702{col 37}{space 1}   -3.02{col 46}{space 3}0.002{col 54}{space 4}-4.718978{col 67}{space 3}-1.007974
{txt}{space 4}personal {c |}{col 14}{res}{space 2}-.0489118{col 26}{space 2} .7274338{col 37}{space 1}   -0.07{col 46}{space 3}0.946{col 54}{space 4}-1.474656{col 67}{space 3} 1.376832
{txt}{space 8}enph {c |}{col 14}{res}{space 2} 1.193429{col 26}{space 2} .3258062{col 37}{space 1}    3.66{col 46}{space 3}0.000{col 54}{space 4} .5548606{col 67}{space 3} 1.831997
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-2.147059{col 26}{space 2} 1.300618{col 37}{space 1}   -1.65{col 46}{space 3}0.099{col 54}{space 4}-4.696224{col 67}{space 3}  .402106
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. * Step 2: Get mean and standard deviation of ENPH
. summarize enph if a_1 == 1

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 8}enph {c |}{res}        579      1.2033    1.164948          0   6.340858
{txt}
{com}. local mn = r(mean)
{txt}
{com}. local sd = r(sd)
{txt}
{com}. 
. * Step 3: Predict Pr(A → D) at mean and mean + 1 SD of ENPH
. margins, at(enph = (`mn' `=`mn'+`sd'')) predict(pr outcome(3)) post
{res}
{txt}{col 1}Predictive margins{col 60}{lalign 13:Number of obs}{col 73} = {res}{ralign 3:561}
{txt}{col 1}Model VCE: {res:OIM}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Pr(end2_gwf==A__D), predict(pr outcome(3))}{p_end}
{p2colreset}{...}
{lalign 7:1._at: }{space 0}{lalign 4:enph} = {res:{ralign 8:1.2033}}
{lalign 7:2._at: }{space 0}{lalign 4:enph} = {res:{ralign 8:2.368248}}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}  .070288{col 26}{space 2} .0192854{col 37}{space 1}    3.64{col 46}{space 3}0.000{col 54}{space 4} .0324893{col 67}{space 3} .1080866
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .1687203{col 26}{space 2} .0531734{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0645024{col 67}{space 3} .2729382
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. * Step 4: Calculate and display effect of 1 SD increase
. mat b = r(b)
{txt}
{com}. di "Effect of 1 SD increase in ENPH on Pr(A → D): " b[1,2] - b[1,1]
{res}Effect of 1 SD increase in ENPH on Pr(A → D): .09843236
{txt}
{com}. 
. ** Calculate effect in SDs for Model 1.3 (top-down)
. logit gwf_topdown $controls $fordicts c.enph if a_1 == 1

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-74.635222}  
Iteration 1:{space 2}Log likelihood = {res: -71.13274}  
Iteration 2:{space 2}Log likelihood = {res:-59.451811}  
Iteration 3:{space 2}Log likelihood = {res:-58.165385}  
Iteration 4:{space 2}Log likelihood = {res:-58.026567}  
Iteration 5:{space 2}Log likelihood = {res:-57.976773}  
Iteration 6:{space 2}Log likelihood = {res:-57.743295}  
Iteration 7:{space 2}Log likelihood = {res:-57.698611}  
Iteration 8:{space 2}Log likelihood = {res: -57.69788}  
Iteration 9:{space 2}Log likelihood = {res:-57.697879}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:513}
{txt}{col 57}{lalign 13:LR chi2({res:17})}{col 70} = {res}{ralign 6:33.87}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0087}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-57.697879}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.2269}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} gwf_topdown{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}frag {c |}{col 14}{res}{space 2} .7781337{col 26}{space 2}  1.14684{col 37}{space 1}    0.68{col 46}{space 3}0.497{col 54}{space 4}-1.469632{col 67}{space 3} 3.025899
{txt}{space 6}unrest {c |}{col 14}{res}{space 2} -.017576{col 26}{space 2} .0838703{col 37}{space 1}   -0.21{col 46}{space 3}0.834{col 54}{space 4}-.1819586{col 67}{space 3} .1468067
{txt}{space 6}region {c |}{col 14}{res}{space 2} 1.496688{col 26}{space 2} 2.268517{col 37}{space 1}    0.66{col 46}{space 3}0.509{col 54}{space 4}-2.949523{col 67}{space 3} 5.942898
{txt}{space 2}e_miinterc {c |}{col 14}{res}{space 2}-.7783749{col 26}{space 2} .8708227{col 37}{space 1}   -0.89{col 46}{space 3}0.371{col 54}{space 4}-2.485156{col 67}{space 3} .9284064
{txt}{space 2}e_miinteco {c |}{col 14}{res}{space 2} .4886254{col 26}{space 2} 1.433105{col 37}{space 1}    0.34{col 46}{space 3}0.733{col 54}{space 4}-2.320208{col 67}{space 3} 3.297459
{txt}{space 8}pgdp {c |}{col 14}{res}{space 2} .0423611{col 26}{space 2} .1785543{col 37}{space 1}    0.24{col 46}{space 3}0.812{col 54}{space 4}-.3075989{col 67}{space 3} .3923211
{txt}{space 7}gpgdp {c |}{col 14}{res}{space 2} 4.459871{col 26}{space 2} 6.583559{col 37}{space 1}    0.68{col 46}{space 3}0.498{col 54}{space 4}-8.443667{col 67}{space 3} 17.36341
{txt}{space 6}oilmin {c |}{col 14}{res}{space 2}-.4989163{col 26}{space 2} .8662004{col 37}{space 1}   -0.58{col 46}{space 3}0.565{col 54}{space 4}-2.196638{col 67}{space 3} 1.198805
{txt}{space 8}popm {c |}{col 14}{res}{space 2} .0298863{col 26}{space 2} .0150543{col 37}{space 1}    1.99{col 46}{space 3}0.047{col 54}{space 4} .0003805{col 67}{space 3} .0593922
{txt}{space 3}al_ethnic {c |}{col 14}{res}{space 2}-1.478905{col 26}{space 2} 1.628124{col 37}{space 1}   -0.91{col 46}{space 3}0.364{col 54}{space 4}-4.669969{col 67}{space 3} 1.712158
{txt}{space 1}al_religion {c |}{col 14}{res}{space 2}-10.06275{col 26}{space 2}  3.41471{col 37}{space 1}   -2.95{col 46}{space 3}0.003{col 54}{space 4}-16.75545{col 67}{space 3}-3.370037
{txt}{space 9}age {c |}{col 14}{res}{space 2} .2929361{col 26}{space 2} .4313006{col 37}{space 1}    0.68{col 46}{space 3}0.497{col 54}{space 4}-.5523975{col 67}{space 3}  1.13827
{txt}{space 8}age2 {c |}{col 14}{res}{space 2} .0028681{col 26}{space 2}  .047366{col 37}{space 1}    0.06{col 46}{space 3}0.952{col 54}{space 4}-.0899675{col 67}{space 3} .0957037
{txt}{space 8}age3 {c |}{col 14}{res}{space 2}-.0006949{col 26}{space 2} .0014562{col 37}{space 1}   -0.48{col 46}{space 3}0.633{col 54}{space 4}-.0035491{col 67}{space 3} .0021592
{txt}{space 3}1.legis11 {c |}{col 14}{res}{space 2}-2.875654{col 26}{space 2} 1.249499{col 37}{space 1}   -2.30{col 46}{space 3}0.021{col 54}{space 4}-5.324627{col 67}{space 3}-.4266821
{txt}{space 4}personal {c |}{col 14}{res}{space 2}   .56855{col 26}{space 2}  .873165{col 37}{space 1}    0.65{col 46}{space 3}0.515{col 54}{space 4}-1.142822{col 67}{space 3} 2.279922
{txt}{space 8}enph {c |}{col 14}{res}{space 2} 1.017544{col 26}{space 2} .4992646{col 37}{space 1}    2.04{col 46}{space 3}0.042{col 54}{space 4} .0390036{col 67}{space 3} 1.996085
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-1.787718{col 26}{space 2} 1.948991{col 37}{space 1}   -0.92{col 46}{space 3}0.359{col 54}{space 4}-5.607671{col 67}{space 3} 2.032235
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 56 failures and 0 successes completely determined.{p_end}

{com}. summarize enph if a_1 == 1

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 8}enph {c |}{res}        579      1.2033    1.164948          0   6.340858
{txt}
{com}. local sd = r(sd)
{txt}
{com}. local mn = r(mean)
{txt}
{com}. margins, at(enph = (`mn' `=`mn'+`sd'')) post
{res}
{txt}{col 1}Predictive margins{col 60}{lalign 13:Number of obs}{col 73} = {res}{ralign 3:513}
{txt}{col 1}Model VCE: {res:OIM}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Pr(gwf_topdown), predict()}{p_end}
{p2colreset}{...}
{lalign 7:1._at: }{space 0}{lalign 4:enph} = {res:{ralign 8:1.2033}}
{lalign 7:2._at: }{space 0}{lalign 4:enph} = {res:{ralign 8:2.368248}}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}  .050749{col 26}{space 2}  .019718{col 37}{space 1}    2.57{col 46}{space 3}0.010{col 54}{space 4} .0121026{col 67}{space 3} .0893955
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .1165545{col 26}{space 2} .0657552{col 37}{space 1}    1.77{col 46}{space 3}0.076{col 54}{space 4}-.0123234{col 67}{space 3} .2454324
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mat b = r(b)
{txt}
{com}. di "Effect of 1 SD increase in ENPH: " b[1,2] - b[1,1]
{res}Effect of 1 SD increase in ENPH: .06580545
{txt}
{com}. 
. 
. ***** Tables 2 & A9: Endogeneity Models - DV: Democratization 
. eststo clear
{txt}
{com}. ** Geddes, Wright & Frantz
. ivprobit gwf_democratization  $controlsiv $fordicts (c.enph = $instruments )    if a_1 == 1, first
{res}
{txt}Fitting exogenous probit model:
{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-108.25445}  
Iteration 1:{space 2}Log likelihood = {res:-89.743738}  
Iteration 2:{space 2}Log likelihood = {res:-88.318648}  
Iteration 3:{space 2}Log likelihood = {res:-88.308132}  
Iteration 4:{space 2}Log likelihood = {res:-88.308127}  
{res}
{txt}Fitting full model:
{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-642.11582}  
Iteration 1:{space 2}Log likelihood = {res:-641.99897}  
Iteration 2:{space 2}Log likelihood = {res:-641.99895}  

{col 1}Probit model with endogenous regressors{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:561}
{txt}{col 57}{lalign 13:Wald chi2({res:13})}{col 70} = {res}{ralign 6:25.95}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-641.99895}{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0172}

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |} Coefficient{col 27}  Std. err.{col 39}      z{col 47}   P>|z|{col 55}     [95% con{col 68}f. interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}gwf_democra~n {txt}{c |}
{space 9}enph {c |}{col 15}{res}{space 2}  .793452{col 27}{space 2} .3898641{col 38}{space 1}    2.04{col 47}{space 3}0.042{col 55}{space 4} .0293324{col 68}{space 3} 1.557572
{txt}{space 9}frag {c |}{col 15}{res}{space 2}-.6321079{col 27}{space 2} .5490575{col 38}{space 1}   -1.15{col 47}{space 3}0.250{col 55}{space 4}-1.708241{col 68}{space 3} .4440251
{txt}{space 7}region {c |}{col 15}{res}{space 2} 1.557172{col 27}{space 2} .7379349{col 38}{space 1}    2.11{col 47}{space 3}0.035{col 55}{space 4} .1108458{col 68}{space 3} 3.003497
{txt}{space 3}e_miinterc {c |}{col 15}{res}{space 2}-.1512089{col 27}{space 2} .3105344{col 38}{space 1}   -0.49{col 47}{space 3}0.626{col 55}{space 4}-.7598452{col 68}{space 3} .4574274
{txt}{space 3}e_miinteco {c |}{col 15}{res}{space 2} .7759797{col 27}{space 2} .5530609{col 38}{space 1}    1.40{col 47}{space 3}0.161{col 55}{space 4}-.3079998{col 68}{space 3} 1.859959
{txt}{space 9}pgdp {c |}{col 15}{res}{space 2} .0209765{col 27}{space 2} .0676837{col 38}{space 1}    0.31{col 47}{space 3}0.757{col 55}{space 4}-.1116811{col 68}{space 3} .1536341
{txt}{space 8}gpgdp {c |}{col 15}{res}{space 2} 1.491601{col 27}{space 2} 2.290345{col 38}{space 1}    0.65{col 47}{space 3}0.515{col 55}{space 4}-2.997393{col 68}{space 3} 5.980596
{txt}{space 7}oilmin {c |}{col 15}{res}{space 2} .0777878{col 27}{space 2} .3082936{col 38}{space 1}    0.25{col 47}{space 3}0.801{col 55}{space 4}-.5264565{col 68}{space 3} .6820321
{txt}{space 9}popm {c |}{col 15}{res}{space 2} .0066484{col 27}{space 2} .0060487{col 38}{space 1}    1.10{col 47}{space 3}0.272{col 55}{space 4}-.0052069{col 68}{space 3} .0185037
{txt}{space 4}al_ethnic {c |}{col 15}{res}{space 2} -.787757{col 27}{space 2}   .63434{col 38}{space 1}   -1.24{col 47}{space 3}0.214{col 55}{space 4}-2.031041{col 68}{space 3} .4555265
{txt}{space 2}al_religion {c |}{col 15}{res}{space 2} -3.20059{col 27}{space 2} 1.131211{col 38}{space 1}   -2.83{col 47}{space 3}0.005{col 55}{space 4}-5.417724{col 68}{space 3}-.9834567
{txt}{space 4}1.legis11 {c |}{col 15}{res}{space 2}-1.694275{col 27}{space 2} .6529539{col 38}{space 1}   -2.59{col 47}{space 3}0.009{col 55}{space 4}-2.974041{col 68}{space 3}-.4145087
{txt}{space 5}personal {c |}{col 15}{res}{space 2}  .172101{col 27}{space 2} .3189885{col 38}{space 1}    0.54{col 47}{space 3}0.590{col 55}{space 4}-.4531048{col 68}{space 3} .7973069
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-.9467268{col 27}{space 2} .5711548{col 38}{space 1}   -1.66{col 47}{space 3}0.097{col 55}{space 4} -2.06617{col 68}{space 3} .1727161
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}enph          {txt}{c |}
{space 9}frag {c |}{col 15}{res}{space 2} 1.143193{col 27}{space 2}  .096316{col 38}{space 1}   11.87{col 47}{space 3}0.000{col 55}{space 4} .9544169{col 68}{space 3} 1.331969
{txt}{space 7}region {c |}{col 15}{res}{space 2}-.2424325{col 27}{space 2}  .200335{col 38}{space 1}   -1.21{col 47}{space 3}0.226{col 55}{space 4}-.6350818{col 68}{space 3} .1502168
{txt}{space 3}e_miinterc {c |}{col 15}{res}{space 2} .3392514{col 27}{space 2} .0753924{col 38}{space 1}    4.50{col 47}{space 3}0.000{col 55}{space 4}  .191485{col 68}{space 3} .4870177
{txt}{space 3}e_miinteco {c |}{col 15}{res}{space 2} .6339166{col 27}{space 2} .2099349{col 38}{space 1}    3.02{col 47}{space 3}0.003{col 55}{space 4} .2224519{col 68}{space 3} 1.045381
{txt}{space 9}pgdp {c |}{col 15}{res}{space 2}-.1857735{col 27}{space 2} .0292593{col 38}{space 1}   -6.35{col 47}{space 3}0.000{col 55}{space 4}-.2431207{col 68}{space 3}-.1284262
{txt}{space 8}gpgdp {c |}{col 15}{res}{space 2}-.2109702{col 27}{space 2} .5940636{col 38}{space 1}   -0.36{col 47}{space 3}0.722{col 55}{space 4}-1.375314{col 68}{space 3}  .953373
{txt}{space 7}oilmin {c |}{col 15}{res}{space 2}-.1618858{col 27}{space 2} .1009731{col 38}{space 1}   -1.60{col 47}{space 3}0.109{col 55}{space 4}-.3597895{col 68}{space 3} .0360179
{txt}{space 9}popm {c |}{col 15}{res}{space 2}-.0012466{col 27}{space 2} .0015538{col 38}{space 1}   -0.80{col 47}{space 3}0.422{col 55}{space 4}-.0042919{col 68}{space 3} .0017988
{txt}{space 4}al_ethnic {c |}{col 15}{res}{space 2} .8340793{col 27}{space 2} .1932522{col 38}{space 1}    4.32{col 47}{space 3}0.000{col 55}{space 4} .4553119{col 68}{space 3} 1.212847
{txt}{space 2}al_religion {c |}{col 15}{res}{space 2} 1.832828{col 27}{space 2} .3999313{col 38}{space 1}    4.58{col 47}{space 3}0.000{col 55}{space 4} 1.048977{col 68}{space 3} 2.616678
{txt}{space 4}1.legis11 {c |}{col 15}{res}{space 2} 1.676117{col 27}{space 2} .0717531{col 38}{space 1}   23.36{col 47}{space 3}0.000{col 55}{space 4} 1.535483{col 68}{space 3}  1.81675
{txt}{space 5}personal {c |}{col 15}{res}{space 2}-.4573494{col 27}{space 2} .0842808{col 38}{space 1}   -5.43{col 47}{space 3}0.000{col 55}{space 4}-.6225367{col 68}{space 3}-.2921622
{txt}{space 6}1.prb45 {c |}{col 15}{res}{space 2} .5555003{col 27}{space 2} .0872671{col 38}{space 1}    6.37{col 47}{space 3}0.000{col 55}{space 4} .3844599{col 68}{space 3} .7265407
{txt}{space 2}adm_pre1945 {c |}{col 15}{res}{space 2} .1413727{col 27}{space 2} .0207027{col 38}{space 1}    6.83{col 47}{space 3}0.000{col 55}{space 4} .1007962{col 68}{space 3} .1819491
{txt}{space 13} {c |}
{space 8}prb45#{c |}
c.adm_pre1945 {c |}
{space 11}1  {c |}{col 15}{res}{space 2}-.1640978{col 27}{space 2} .0227604{col 38}{space 1}   -7.21{col 47}{space 3}0.000{col 55}{space 4}-.2087074{col 68}{space 3}-.1194883
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-.8562697{col 27}{space 2} .1783759{col 38}{space 1}   -4.80{col 47}{space 3}0.000{col 55}{space 4} -1.20588{col 68}{space 3}-.5066593
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}/athrho2_1 {c |}{col 15}{res}{space 2}-.1991527{col 27}{space 2} .3015833{col 38}{space 1}   -0.66{col 47}{space 3}0.509{col 55}{space 4}-.7902452{col 68}{space 3} .3919398
{txt}{space 4}/lnsigma2 {c |}{col 15}{res}{space 2}-.4319654{col 27}{space 2} .0298541{col 38}{space 1}  -14.47{col 47}{space 3}0.000{col 55}{space 4}-.4904784{col 68}{space 3}-.3734524
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
  corr(e.enph,{c |}
e.gwf_democ~n){c |}{col 15}{res}{space 2}-.1965609{col 27}{space 2} .2899313{col 55}{space 4}-.6585479{col 68}{space 3} .3730313
{txt}    sd(e.enph){c |}{col 15}{res}{space 2} .6492319{col 27}{space 2} .0193823{col 55}{space 4} .6123334{col 68}{space 3} .6883538
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Wald test of exogeneity (corr = 0): chi2({res}1{txt}) = {res}0.44{txt}{col 59}Prob > chi2 = {res}0.5090
{txt}{p 0 12 2}Endogenous: {res:enph}{p_end}
{p 0 12 2}Exogenous:{space 1} {res:frag region e_miinterc e_miinteco pgdp gpgdp oilmin popm al_ethnic al_religion 1.legis11 personal 1.prb45 adm_pre1945 1.prb45#c.adm_pre1945}{p_end}

{com}.        estimates store M21
{txt}
{com}. 
. ** Cheibub, Gandhi & Vreeland
. ivprobit cgv_democratization  $controlsiv $fordicts (c.enph = $instruments )    if a_1 == 1, first
{res}
{txt}Fitting exogenous probit model:
{res}{txt}Iteration 0:{space 2}Log likelihood = {res:  -122.717}  
Iteration 1:{space 2}Log likelihood = {res:-96.681633}  
Iteration 2:{space 2}Log likelihood = {res:-93.241827}  
Iteration 3:{space 2}Log likelihood = {res:-93.163237}  
Iteration 4:{space 2}Log likelihood = {res:-93.162979}  
Iteration 5:{space 2}Log likelihood = {res:-93.162979}  
{res}
{txt}Fitting full model:
{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-646.97067}  
Iteration 1:{space 2}Log likelihood = {res:-646.84035}  
Iteration 2:{space 2}Log likelihood = {res:-646.84031}  

{col 1}Probit model with endogenous regressors{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:561}
{txt}{col 57}{lalign 13:Wald chi2({res:13})}{col 70} = {res}{ralign 6:66.39}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-646.84031}{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |} Coefficient{col 27}  Std. err.{col 39}      z{col 47}   P>|z|{col 55}     [95% con{col 68}f. interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}cgv_democra~n {txt}{c |}
{space 9}enph {c |}{col 15}{res}{space 2} 1.180512{col 27}{space 2} .2533437{col 38}{space 1}    4.66{col 47}{space 3}0.000{col 55}{space 4}  .683967{col 68}{space 3} 1.677056
{txt}{space 9}frag {c |}{col 15}{res}{space 2}-.9700322{col 27}{space 2}  .450533{col 38}{space 1}   -2.15{col 47}{space 3}0.031{col 55}{space 4}-1.853061{col 68}{space 3}-.0870038
{txt}{space 7}region {c |}{col 15}{res}{space 2} 1.598592{col 27}{space 2} .6953292{col 38}{space 1}    2.30{col 47}{space 3}0.022{col 55}{space 4} .2357714{col 68}{space 3} 2.961412
{txt}{space 3}e_miinterc {c |}{col 15}{res}{space 2} .0296946{col 27}{space 2} .2804994{col 38}{space 1}    0.11{col 47}{space 3}0.916{col 55}{space 4}-.5200742{col 68}{space 3} .5794633
{txt}{space 3}e_miinteco {c |}{col 15}{res}{space 2}  .614742{col 27}{space 2} .5685392{col 38}{space 1}    1.08{col 47}{space 3}0.280{col 55}{space 4}-.4995743{col 68}{space 3} 1.729058
{txt}{space 9}pgdp {c |}{col 15}{res}{space 2} .0272585{col 27}{space 2}  .062338{col 38}{space 1}    0.44{col 47}{space 3}0.662{col 55}{space 4}-.0949217{col 68}{space 3} .1494387
{txt}{space 8}gpgdp {c |}{col 15}{res}{space 2} .9457874{col 27}{space 2} 2.086354{col 38}{space 1}    0.45{col 47}{space 3}0.650{col 55}{space 4}-3.143391{col 68}{space 3} 5.034965
{txt}{space 7}oilmin {c |}{col 15}{res}{space 2} .0111337{col 27}{space 2} .2730406{col 38}{space 1}    0.04{col 47}{space 3}0.967{col 55}{space 4} -.524016{col 68}{space 3} .5462834
{txt}{space 9}popm {c |}{col 15}{res}{space 2} .0081007{col 27}{space 2} .0050883{col 38}{space 1}    1.59{col 47}{space 3}0.111{col 55}{space 4}-.0018722{col 68}{space 3} .0180737
{txt}{space 4}al_ethnic {c |}{col 15}{res}{space 2}-.5998178{col 27}{space 2} .5636412{col 38}{space 1}   -1.06{col 47}{space 3}0.287{col 55}{space 4}-1.704534{col 68}{space 3} .5048986
{txt}{space 2}al_religion {c |}{col 15}{res}{space 2}-2.980927{col 27}{space 2} .9466293{col 38}{space 1}   -3.15{col 47}{space 3}0.002{col 55}{space 4}-4.836286{col 68}{space 3}-1.125567
{txt}{space 4}1.legis11 {c |}{col 15}{res}{space 2}-2.436377{col 27}{space 2} .4283355{col 38}{space 1}   -5.69{col 47}{space 3}0.000{col 55}{space 4}-3.275899{col 68}{space 3}-1.596855
{txt}{space 5}personal {c |}{col 15}{res}{space 2}-.3621877{col 27}{space 2} .4065946{col 38}{space 1}   -0.89{col 47}{space 3}0.373{col 55}{space 4}-1.159099{col 68}{space 3} .4347231
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-.8065625{col 27}{space 2}  .557336{col 38}{space 1}   -1.45{col 47}{space 3}0.148{col 55}{space 4}-1.898921{col 68}{space 3} .2857961
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}enph          {txt}{c |}
{space 9}frag {c |}{col 15}{res}{space 2} 1.148857{col 27}{space 2} .0960707{col 38}{space 1}   11.96{col 47}{space 3}0.000{col 55}{space 4} .9605615{col 68}{space 3} 1.337152
{txt}{space 7}region {c |}{col 15}{res}{space 2}-.2487785{col 27}{space 2} .2003081{col 38}{space 1}   -1.24{col 47}{space 3}0.214{col 55}{space 4}-.6413752{col 68}{space 3} .1438181
{txt}{space 3}e_miinterc {c |}{col 15}{res}{space 2} .3402633{col 27}{space 2} .0753825{col 38}{space 1}    4.51{col 47}{space 3}0.000{col 55}{space 4} .1925163{col 68}{space 3} .4880102
{txt}{space 3}e_miinteco {c |}{col 15}{res}{space 2} .6328361{col 27}{space 2} .2099165{col 38}{space 1}    3.01{col 47}{space 3}0.003{col 55}{space 4} .2214073{col 68}{space 3} 1.044265
{txt}{space 9}pgdp {c |}{col 15}{res}{space 2}-.1881396{col 27}{space 2} .0289662{col 38}{space 1}   -6.50{col 47}{space 3}0.000{col 55}{space 4}-.2449123{col 68}{space 3}-.1313669
{txt}{space 8}gpgdp {c |}{col 15}{res}{space 2}-.2140512{col 27}{space 2} .5939837{col 38}{space 1}   -0.36{col 47}{space 3}0.719{col 55}{space 4}-1.378238{col 68}{space 3} .9501354
{txt}{space 7}oilmin {c |}{col 15}{res}{space 2}-.1596612{col 27}{space 2} .1010051{col 38}{space 1}   -1.58{col 47}{space 3}0.114{col 55}{space 4}-.3576275{col 68}{space 3} .0383051
{txt}{space 9}popm {c |}{col 15}{res}{space 2}-.0013241{col 27}{space 2} .0015522{col 38}{space 1}   -0.85{col 47}{space 3}0.394{col 55}{space 4}-.0043664{col 68}{space 3} .0017183
{txt}{space 4}al_ethnic {c |}{col 15}{res}{space 2} .8295308{col 27}{space 2} .1920518{col 38}{space 1}    4.32{col 47}{space 3}0.000{col 55}{space 4} .4531162{col 68}{space 3} 1.205945
{txt}{space 2}al_religion {c |}{col 15}{res}{space 2} 1.809343{col 27}{space 2} .3967882{col 38}{space 1}    4.56{col 47}{space 3}0.000{col 55}{space 4} 1.031653{col 68}{space 3} 2.587034
{txt}{space 4}1.legis11 {c |}{col 15}{res}{space 2} 1.675843{col 27}{space 2} .0717564{col 38}{space 1}   23.35{col 47}{space 3}0.000{col 55}{space 4} 1.535204{col 68}{space 3} 1.816483
{txt}{space 5}personal {c |}{col 15}{res}{space 2}-.4562419{col 27}{space 2} .0840455{col 38}{space 1}   -5.43{col 47}{space 3}0.000{col 55}{space 4}-.6209679{col 68}{space 3}-.2915158
{txt}{space 6}1.prb45 {c |}{col 15}{res}{space 2} .5487611{col 27}{space 2} .0871257{col 38}{space 1}    6.30{col 47}{space 3}0.000{col 55}{space 4} .3779978{col 68}{space 3} .7195243
{txt}{space 2}adm_pre1945 {c |}{col 15}{res}{space 2} .1429367{col 27}{space 2} .0204215{col 38}{space 1}    7.00{col 47}{space 3}0.000{col 55}{space 4} .1029113{col 68}{space 3}  .182962
{txt}{space 13} {c |}
{space 8}prb45#{c |}
c.adm_pre1945 {c |}
{space 11}1  {c |}{col 15}{res}{space 2} -.164304{col 27}{space 2} .0226637{col 38}{space 1}   -7.25{col 47}{space 3}0.000{col 55}{space 4} -.208724{col 68}{space 3}-.1198841
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-.8435804{col 27}{space 2} .1778429{col 38}{space 1}   -4.74{col 47}{space 3}0.000{col 55}{space 4}-1.192146{col 68}{space 3}-.4950147
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}/athrho2_1 {c |}{col 15}{res}{space 2}-.5329075{col 27}{space 2} .2789806{col 38}{space 1}   -1.91{col 47}{space 3}0.056{col 55}{space 4}-1.079699{col 68}{space 3} .0138843
{txt}{space 4}/lnsigma2 {c |}{col 15}{res}{space 2}-.4319425{col 27}{space 2} .0298554{col 38}{space 1}  -14.47{col 47}{space 3}0.000{col 55}{space 4} -.490458{col 68}{space 3}-.3734269
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
  corr(e.enph,{c |}
e.cgv_democ~n){c |}{col 15}{res}{space 2}-.4876005{col 27}{space 2} .2126518{col 55}{space 4}-.7930876{col 68}{space 3} .0138835
{txt}    sd(e.enph){c |}{col 15}{res}{space 2} .6492467{col 27}{space 2} .0193835{col 55}{space 4} .6123459{col 68}{space 3} .6883713
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Wald test of exogeneity (corr = 0): chi2({res}1{txt}) = {res}3.65{txt}{col 59}Prob > chi2 = {res}0.0561
{txt}{p 0 12 2}Endogenous: {res:enph}{p_end}
{p 0 12 2}Exogenous:{space 1} {res:frag region e_miinterc e_miinteco pgdp gpgdp oilmin popm al_ethnic al_religion 1.legis11 personal 1.prb45 adm_pre1945 1.prb45#c.adm_pre1945}{p_end}

{com}.        estimates store M22
{txt}
{com}. 
. ** Svolik
. ivprobit sv_democratization  $controlsiv $fordicts (c.enph = $instruments )     if a_1 == 1, first
{res}
{txt}Fitting exogenous probit model:
{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-95.989156}  
Iteration 1:{space 2}Log likelihood = {res:-73.799371}  
Iteration 2:{space 2}Log likelihood = {res:-70.488498}  
Iteration 3:{space 2}Log likelihood = {res:-70.232643}  
Iteration 4:{space 2}Log likelihood = {res:-70.230236}  
Iteration 5:{space 2}Log likelihood = {res:-70.230235}  
{res}
{txt}Fitting full model:
{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-624.03793}  
Iteration 1:{space 2}Log likelihood = {res:-623.92164}  
Iteration 2:{space 2}Log likelihood = {res:-623.92161}  

{col 1}Probit model with endogenous regressors{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:561}
{txt}{col 57}{lalign 13:Wald chi2({res:13})}{col 70} = {res}{ralign 6:23.24}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-623.92161}{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0388}

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |} Coefficient{col 27}  Std. err.{col 39}      z{col 47}   P>|z|{col 55}     [95% con{col 68}f. interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}sv_democrat~n {txt}{c |}
{space 9}enph {c |}{col 15}{res}{space 2} .6389569{col 27}{space 2} .4847947{col 38}{space 1}    1.32{col 47}{space 3}0.188{col 55}{space 4}-.3112232{col 68}{space 3} 1.589137
{txt}{space 9}frag {c |}{col 15}{res}{space 2}-.3016265{col 27}{space 2} .7052648{col 38}{space 1}   -0.43{col 47}{space 3}0.669{col 55}{space 4} -1.68392{col 68}{space 3} 1.080667
{txt}{space 7}region {c |}{col 15}{res}{space 2} 1.687966{col 27}{space 2} .9138156{col 38}{space 1}    1.85{col 47}{space 3}0.065{col 55}{space 4}-.1030793{col 68}{space 3} 3.479012
{txt}{space 3}e_miinterc {c |}{col 15}{res}{space 2}-.0156255{col 27}{space 2} .3635981{col 38}{space 1}   -0.04{col 47}{space 3}0.966{col 55}{space 4}-.7282646{col 68}{space 3} .6970135
{txt}{space 3}e_miinteco {c |}{col 15}{res}{space 2} .5855183{col 27}{space 2} .6105483{col 38}{space 1}    0.96{col 47}{space 3}0.338{col 55}{space 4}-.6111343{col 68}{space 3} 1.782171
{txt}{space 9}pgdp {c |}{col 15}{res}{space 2} .1284163{col 27}{space 2} .0766078{col 38}{space 1}    1.68{col 47}{space 3}0.094{col 55}{space 4}-.0217322{col 68}{space 3} .2785649
{txt}{space 8}gpgdp {c |}{col 15}{res}{space 2}-4.031775{col 27}{space 2} 2.535634{col 38}{space 1}   -1.59{col 47}{space 3}0.112{col 55}{space 4}-9.001526{col 68}{space 3} .9379758
{txt}{space 7}oilmin {c |}{col 15}{res}{space 2} .0648168{col 27}{space 2} .3464599{col 38}{space 1}    0.19{col 47}{space 3}0.852{col 55}{space 4}-.6142322{col 68}{space 3} .7438658
{txt}{space 9}popm {c |}{col 15}{res}{space 2}-.0101069{col 27}{space 2} .0126224{col 38}{space 1}   -0.80{col 47}{space 3}0.423{col 55}{space 4}-.0348464{col 68}{space 3} .0146326
{txt}{space 4}al_ethnic {c |}{col 15}{res}{space 2}-.6254904{col 27}{space 2} .7320213{col 38}{space 1}   -0.85{col 47}{space 3}0.393{col 55}{space 4}-2.060226{col 68}{space 3}  .809245
{txt}{space 2}al_religion {c |}{col 15}{res}{space 2} -4.61699{col 27}{space 2} 1.542208{col 38}{space 1}   -2.99{col 47}{space 3}0.003{col 55}{space 4}-7.639663{col 68}{space 3}-1.594318
{txt}{space 4}1.legis11 {c |}{col 15}{res}{space 2}-1.366127{col 27}{space 2} .8146618{col 38}{space 1}   -1.68{col 47}{space 3}0.094{col 55}{space 4}-2.962835{col 68}{space 3} .2305807
{txt}{space 5}personal {c |}{col 15}{res}{space 2}-.1435473{col 27}{space 2} .4105849{col 38}{space 1}   -0.35{col 47}{space 3}0.727{col 55}{space 4}-.9482788{col 68}{space 3} .6611842
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-.9153276{col 27}{space 2} .6388629{col 38}{space 1}   -1.43{col 47}{space 3}0.152{col 55}{space 4}-2.167476{col 68}{space 3} .3368206
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}enph          {txt}{c |}
{space 9}frag {c |}{col 15}{res}{space 2} 1.143615{col 27}{space 2} .0963404{col 38}{space 1}   11.87{col 47}{space 3}0.000{col 55}{space 4} .9547911{col 68}{space 3} 1.332439
{txt}{space 7}region {c |}{col 15}{res}{space 2}-.2429709{col 27}{space 2} .2003594{col 38}{space 1}   -1.21{col 47}{space 3}0.225{col 55}{space 4}-.6356682{col 68}{space 3} .1497263
{txt}{space 3}e_miinterc {c |}{col 15}{res}{space 2} .3390949{col 27}{space 2} .0753935{col 38}{space 1}    4.50{col 47}{space 3}0.000{col 55}{space 4} .1913263{col 68}{space 3} .4868636
{txt}{space 3}e_miinteco {c |}{col 15}{res}{space 2} .6341642{col 27}{space 2} .2099381{col 38}{space 1}    3.02{col 47}{space 3}0.003{col 55}{space 4} .2226932{col 68}{space 3} 1.045635
{txt}{space 9}pgdp {c |}{col 15}{res}{space 2}-.1860436{col 27}{space 2} .0292578{col 38}{space 1}   -6.36{col 47}{space 3}0.000{col 55}{space 4}-.2433879{col 68}{space 3}-.1286993
{txt}{space 8}gpgdp {c |}{col 15}{res}{space 2}-.2099032{col 27}{space 2} .5940718{col 38}{space 1}   -0.35{col 47}{space 3}0.724{col 55}{space 4}-1.374263{col 68}{space 3} .9544562
{txt}{space 7}oilmin {c |}{col 15}{res}{space 2}-.1615876{col 27}{space 2} .1009872{col 38}{space 1}   -1.60{col 47}{space 3}0.110{col 55}{space 4}-.3595189{col 68}{space 3} .0363437
{txt}{space 9}popm {c |}{col 15}{res}{space 2}-.0012563{col 27}{space 2} .0015543{col 38}{space 1}   -0.81{col 47}{space 3}0.419{col 55}{space 4}-.0043027{col 68}{space 3} .0017901
{txt}{space 4}al_ethnic {c |}{col 15}{res}{space 2} .8363452{col 27}{space 2} .1933593{col 38}{space 1}    4.33{col 47}{space 3}0.000{col 55}{space 4}  .457368{col 68}{space 3} 1.215322
{txt}{space 2}al_religion {c |}{col 15}{res}{space 2} 1.837087{col 27}{space 2} .4003318{col 38}{space 1}    4.59{col 47}{space 3}0.000{col 55}{space 4} 1.052451{col 68}{space 3} 2.621723
{txt}{space 4}1.legis11 {c |}{col 15}{res}{space 2}  1.67605{col 27}{space 2} .0717542{col 38}{space 1}   23.36{col 47}{space 3}0.000{col 55}{space 4} 1.535414{col 68}{space 3} 1.816685
{txt}{space 5}personal {c |}{col 15}{res}{space 2}-.4580484{col 27}{space 2} .0842938{col 38}{space 1}   -5.43{col 47}{space 3}0.000{col 55}{space 4}-.6232611{col 68}{space 3}-.2928356
{txt}{space 6}1.prb45 {c |}{col 15}{res}{space 2} .5540894{col 27}{space 2} .0874863{col 38}{space 1}    6.33{col 47}{space 3}0.000{col 55}{space 4} .3826194{col 68}{space 3} .7255594
{txt}{space 2}adm_pre1945 {c |}{col 15}{res}{space 2} .1416218{col 27}{space 2} .0206878{col 38}{space 1}    6.85{col 47}{space 3}0.000{col 55}{space 4} .1010744{col 68}{space 3} .1821693
{txt}{space 13} {c |}
{space 8}prb45#{c |}
c.adm_pre1945 {c |}
{space 11}1  {c |}{col 15}{res}{space 2}-.1643304{col 27}{space 2} .0227416{col 38}{space 1}   -7.23{col 47}{space 3}0.000{col 55}{space 4}-.2089031{col 68}{space 3}-.1197576
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-.8571907{col 27}{space 2} .1784961{col 38}{space 1}   -4.80{col 47}{space 3}0.000{col 55}{space 4}-1.207037{col 68}{space 3}-.5073448
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}/athrho2_1 {c |}{col 15}{res}{space 2}-.0443037{col 27}{space 2} .3410359{col 38}{space 1}   -0.13{col 47}{space 3}0.897{col 55}{space 4}-.7127218{col 68}{space 3} .6241144
{txt}{space 4}/lnsigma2 {c |}{col 15}{res}{space 2}-.4319664{col 27}{space 2} .0298541{col 38}{space 1}  -14.47{col 47}{space 3}0.000{col 55}{space 4}-.4904793{col 68}{space 3}-.3734535
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
  corr(e.enph,{c |}
e.sv_democr~n){c |}{col 15}{res}{space 2}-.0442747{col 27}{space 2} .3403674{col 55}{space 4}-.6123807{col 68}{space 3} .5539862
{txt}    sd(e.enph){c |}{col 15}{res}{space 2} .6492312{col 27}{space 2} .0193822{col 55}{space 4} .6123329{col 68}{space 3}  .688353
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Wald test of exogeneity (corr = 0): chi2({res}1{txt}) = {res}0.02{txt}{col 59}Prob > chi2 = {res}0.8966
{txt}{p 0 12 2}Endogenous: {res:enph}{p_end}
{p 0 12 2}Exogenous:{space 1} {res:frag region e_miinterc e_miinteco pgdp gpgdp oilmin popm al_ethnic al_religion 1.legis11 personal 1.prb45 adm_pre1945 1.prb45#c.adm_pre1945}{p_end}

{com}.       estimates store M23
{txt}
{com}. 
. esttab M21 M22 M23 using "Table2.rtf", cell(b(star fmt (%9.2f)) se(par)) mtitles(GWF CGV Svolik) ///
>        nobase ///
>        stats(N ll, fmt(%9.0g %9.3f) labels("N" "Log-L"))starlevels(* 0.05 ** 0.01) ///
>            o(enph 1.legis11 personal $controlsiv ) ///
>            legend label varlabels(_cons Constant) title("Table 2. Endogeneity Models") mtitles replace
{res}{txt}{p 0 4 2}
(file {bf}
Table2.rtf{rm}
not found)
{p_end}
{res}{txt}(output written to {browse  `"Table2.rtf"'})

{com}. 
.            
. ************************************************************ APPENDIX ******************************************
. *********** TABLES
. * Table A1: descriptives
. estpost summarize  enph legis11 personal $controls /// 
>                         polinst_gwf polinst_cgv polinst_sv ef_pre1945 ef1 ///
>                         adm_pre1945 end1_gwf end1_cgv end1_sv ///
>                         gwf_democratization cgv_democratization sv_democratization ///
>                         gwf_topdown if a_1 == 1 

{txt}{space 0}{space 0}{ralign 12:}{space 1}{c |}{space 1}{ralign 9:e(count)}{space 1}{space 1}{ralign 9:e(sum_w)}{space 1}{space 1}{ralign 9:e(mean)}{space 1}{space 1}{ralign 9:e(Var)}{space 1}{space 1}{ralign 9:e(sd)}{space 1}
{space 0}{hline 13}{c   +}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}
{space 0}{space 0}{ralign 12:enph}{space 1}{c |}{space 1}{ralign 9:{res:{sf:      579}}}{space 1}{space 1}{ralign 9:{res:{sf:      579}}}{space 1}{space 1}{ralign 9:{res:{sf:   1.2033}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.357103}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.164948}}}{space 1}
{space 0}{space 0}{ralign 12:legis11}{space 1}{c |}{space 1}{ralign 9:{res:{sf:      584}}}{space 1}{space 1}{ralign 9:{res:{sf:      584}}}{space 1}{space 1}{ralign 9:{res:{sf: .6849315}}}{space 1}{space 1}{ralign 9:{res:{sf: .2161705}}}{space 1}{space 1}{ralign 9:{res:{sf: .4649414}}}{space 1}
{space 0}{space 0}{ralign 12:personal}{space 1}{c |}{space 1}{ralign 9:{res:{sf:      584}}}{space 1}{space 1}{ralign 9:{res:{sf:      584}}}{space 1}{space 1}{ralign 9:{res:{sf: .2465753}}}{space 1}{space 1}{ralign 9:{res:{sf: .1860946}}}{space 1}{space 1}{ralign 9:{res:{sf: .4313868}}}{space 1}
{space 0}{space 0}{ralign 12:frag}{space 1}{c |}{space 1}{ralign 9:{res:{sf:      584}}}{space 1}{space 1}{ralign 9:{res:{sf:      584}}}{space 1}{space 1}{ralign 9:{res:{sf: .1421233}}}{space 1}{space 1}{ralign 9:{res:{sf: .1221334}}}{space 1}{space 1}{ralign 9:{res:{sf: .3494759}}}{space 1}
{space 0}{space 0}{ralign 12:unrest}{space 1}{c |}{space 1}{ralign 9:{res:{sf:      584}}}{space 1}{space 1}{ralign 9:{res:{sf:      584}}}{space 1}{space 1}{ralign 9:{res:{sf:  1.38454}}}{space 1}{space 1}{ralign 9:{res:{sf: 7.554399}}}{space 1}{space 1}{ralign 9:{res:{sf: 2.748527}}}{space 1}
{space 0}{space 0}{ralign 12:region}{space 1}{c |}{space 1}{ralign 9:{res:{sf:      584}}}{space 1}{space 1}{ralign 9:{res:{sf:      584}}}{space 1}{space 1}{ralign 9:{res:{sf: .3384553}}}{space 1}{space 1}{ralign 9:{res:{sf: .0248164}}}{space 1}{space 1}{ralign 9:{res:{sf: .1575323}}}{space 1}
{space 0}{space 0}{ralign 12:e_miinterc}{space 1}{c |}{space 1}{ralign 9:{res:{sf:      584}}}{space 1}{space 1}{ralign 9:{res:{sf:      584}}}{space 1}{space 1}{ralign 9:{res:{sf: .1729452}}}{space 1}{space 1}{ralign 9:{res:{sf: .1432805}}}{space 1}{space 1}{ralign 9:{res:{sf: .3785241}}}{space 1}
{space 0}{space 0}{ralign 12:e_miinteco}{space 1}{c |}{space 1}{ralign 9:{res:{sf:      584}}}{space 1}{space 1}{ralign 9:{res:{sf:      584}}}{space 1}{space 1}{ralign 9:{res:{sf: .0171233}}}{space 1}{space 1}{ralign 9:{res:{sf: .0168589}}}{space 1}{space 1}{ralign 9:{res:{sf:  .129842}}}{space 1}
{space 0}{space 0}{ralign 12:pgdp}{space 1}{c |}{space 1}{ralign 9:{res:{sf:      579}}}{space 1}{space 1}{ralign 9:{res:{sf:      579}}}{space 1}{space 1}{ralign 9:{res:{sf: 2.017633}}}{space 1}{space 1}{ralign 9:{res:{sf: 2.329533}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.526281}}}{space 1}
{space 0}{space 0}{ralign 12:gpgdp}{space 1}{c |}{space 1}{ralign 9:{res:{sf:      579}}}{space 1}{space 1}{ralign 9:{res:{sf:      579}}}{space 1}{space 1}{ralign 9:{res:{sf: .0146097}}}{space 1}{space 1}{ralign 9:{res:{sf: .0023345}}}{space 1}{space 1}{ralign 9:{res:{sf: .0483163}}}{space 1}
{space 0}{space 0}{ralign 12:oilmin}{space 1}{c |}{space 1}{ralign 9:{res:{sf:      584}}}{space 1}{space 1}{ralign 9:{res:{sf:      584}}}{space 1}{space 1}{ralign 9:{res:{sf:  .114726}}}{space 1}{space 1}{ralign 9:{res:{sf: .1017382}}}{space 1}{space 1}{ralign 9:{res:{sf: .3189642}}}{space 1}
{space 0}{space 0}{ralign 12:popm}{space 1}{c |}{space 1}{ralign 9:{res:{sf:      584}}}{space 1}{space 1}{ralign 9:{res:{sf:      584}}}{space 1}{space 1}{ralign 9:{res:{sf: 13.23177}}}{space 1}{space 1}{ralign 9:{res:{sf: 539.1648}}}{space 1}{space 1}{ralign 9:{res:{sf: 23.21992}}}{space 1}
{space 0}{space 0}{ralign 12:al_ethnic}{space 1}{c |}{space 1}{ralign 9:{res:{sf:      571}}}{space 1}{space 1}{ralign 9:{res:{sf:      571}}}{space 1}{space 1}{ralign 9:{res:{sf:   .40794}}}{space 1}{space 1}{ralign 9:{res:{sf: .0409403}}}{space 1}{space 1}{ralign 9:{res:{sf:  .202337}}}{space 1}
{space 0}{space 0}{ralign 12:al_religion}{space 1}{c |}{space 1}{ralign 9:{res:{sf:      571}}}{space 1}{space 1}{ralign 9:{res:{sf:      571}}}{space 1}{space 1}{ralign 9:{res:{sf:  .330824}}}{space 1}{space 1}{ralign 9:{res:{sf: .0165677}}}{space 1}{space 1}{ralign 9:{res:{sf: .1287156}}}{space 1}
{space 0}{space 0}{ralign 12:age}{space 1}{c |}{space 1}{ralign 9:{res:{sf:      584}}}{space 1}{space 1}{ralign 9:{res:{sf:      584}}}{space 1}{space 1}{ralign 9:{res:{sf: 13.54795}}}{space 1}{space 1}{ralign 9:{res:{sf: 179.4488}}}{space 1}{space 1}{ralign 9:{res:{sf: 13.39585}}}{space 1}
{space 0}{space 0}{ralign 12:age2}{space 1}{c |}{space 1}{ralign 9:{res:{sf:      584}}}{space 1}{space 1}{ralign 9:{res:{sf:      584}}}{space 1}{space 1}{ralign 9:{res:{sf: 362.6884}}}{space 1}{space 1}{ralign 9:{res:{sf: 379261.7}}}{space 1}{space 1}{ralign 9:{res:{sf: 615.8423}}}{space 1}
{space 0}{space 0}{ralign 12:age3}{space 1}{c |}{space 1}{ralign 9:{res:{sf:      584}}}{space 1}{space 1}{ralign 9:{res:{sf:      584}}}{space 1}{space 1}{ralign 9:{res:{sf:  12706.2}}}{space 1}{space 1}{ralign 9:{res:{sf: 8.71e+08}}}{space 1}{space 1}{ralign 9:{res:{sf: 29518.48}}}{space 1}
{space 0}{space 0}{ralign 12:polinst_gwf}{space 1}{c |}{space 1}{ralign 9:{res:{sf:      584}}}{space 1}{space 1}{ralign 9:{res:{sf:      584}}}{space 1}{space 1}{ralign 9:{res:{sf:    2.375}}}{space 1}{space 1}{ralign 9:{res:{sf: 5.305103}}}{space 1}{space 1}{ralign 9:{res:{sf: 2.303281}}}{space 1}
{space 0}{space 0}{ralign 12:polinst_cgv}{space 1}{c |}{space 1}{ralign 9:{res:{sf:      584}}}{space 1}{space 1}{ralign 9:{res:{sf:      584}}}{space 1}{space 1}{ralign 9:{res:{sf: 2.157534}}}{space 1}{space 1}{ralign 9:{res:{sf: 3.028314}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.740205}}}{space 1}
{space 0}{space 0}{ralign 12:polinst_sv}{space 1}{c |}{space 1}{ralign 9:{res:{sf:      584}}}{space 1}{space 1}{ralign 9:{res:{sf:      584}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.921233}}}{space 1}{space 1}{ralign 9:{res:{sf: 3.448331}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.856968}}}{space 1}
{space 0}{space 0}{ralign 12:ef_pre1945}{space 1}{c |}{space 1}{ralign 9:{res:{sf:      584}}}{space 1}{space 1}{ralign 9:{res:{sf:      584}}}{space 1}{space 1}{ralign 9:{res:{sf:  1.90411}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.290961}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.136205}}}{space 1}
{space 0}{space 0}{ralign 12:ef1}{space 1}{c |}{space 1}{ralign 9:{res:{sf:      420}}}{space 1}{space 1}{ralign 9:{res:{sf:      420}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.838095}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.548903}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.244549}}}{space 1}
{space 0}{space 0}{ralign 12:adm_pre1945}{space 1}{c |}{space 1}{ralign 9:{res:{sf:      584}}}{space 1}{space 1}{ralign 9:{res:{sf:      584}}}{space 1}{space 1}{ralign 9:{res:{sf: 5.139384}}}{space 1}{space 1}{ralign 9:{res:{sf: 41.91711}}}{space 1}{space 1}{ralign 9:{res:{sf: 6.474342}}}{space 1}
{space 0}{space 0}{ralign 12:end1_gwf}{space 1}{c |}{space 1}{ralign 9:{res:{sf:      584}}}{space 1}{space 1}{ralign 9:{res:{sf:      584}}}{space 1}{space 1}{ralign 9:{res:{sf: .1130137}}}{space 1}{space 1}{ralign 9:{res:{sf: .1004135}}}{space 1}{space 1}{ralign 9:{res:{sf:  .316881}}}{space 1}
{space 0}{space 0}{ralign 12:end1_cgv}{space 1}{c |}{space 1}{ralign 9:{res:{sf:      584}}}{space 1}{space 1}{ralign 9:{res:{sf:      584}}}{space 1}{space 1}{ralign 9:{res:{sf: .1078767}}}{space 1}{space 1}{ralign 9:{res:{sf: .0964044}}}{space 1}{space 1}{ralign 9:{res:{sf: .3104906}}}{space 1}
{space 0}{space 0}{ralign 12:end1_sv}{space 1}{c |}{space 1}{ralign 9:{res:{sf:      584}}}{space 1}{space 1}{ralign 9:{res:{sf:      584}}}{space 1}{space 1}{ralign 9:{res:{sf: .1010274}}}{space 1}{space 1}{ralign 9:{res:{sf: .0909766}}}{space 1}{space 1}{ralign 9:{res:{sf: .3016233}}}{space 1}
{space 0}{space 0}{ralign 12:gwf_democr~n}{space 1}{c |}{space 1}{ralign 9:{res:{sf:      584}}}{space 1}{space 1}{ralign 9:{res:{sf:      584}}}{space 1}{space 1}{ralign 9:{res:{sf: .0479452}}}{space 1}{space 1}{ralign 9:{res:{sf: .0457248}}}{space 1}{space 1}{ralign 9:{res:{sf: .2138335}}}{space 1}
{space 0}{space 0}{ralign 12:cgv_democr~n}{space 1}{c |}{space 1}{ralign 9:{res:{sf:      584}}}{space 1}{space 1}{ralign 9:{res:{sf:      584}}}{space 1}{space 1}{ralign 9:{res:{sf: .0547945}}}{space 1}{space 1}{ralign 9:{res:{sf: .0518809}}}{space 1}{space 1}{ralign 9:{res:{sf: .2277738}}}{space 1}
{space 0}{space 0}{ralign 12:sv_democra~n}{space 1}{c |}{space 1}{ralign 9:{res:{sf:      584}}}{space 1}{space 1}{ralign 9:{res:{sf:      584}}}{space 1}{space 1}{ralign 9:{res:{sf: .0393836}}}{space 1}{space 1}{ralign 9:{res:{sf: .0378974}}}{space 1}{space 1}{ralign 9:{res:{sf: .1946725}}}{space 1}
{space 0}{space 0}{ralign 12:gwf_topdown}{space 1}{c |}{space 1}{ralign 9:{res:{sf:      535}}}{space 1}{space 1}{ralign 9:{res:{sf:      535}}}{space 1}{space 1}{ralign 9:{res:{sf: .0317757}}}{space 1}{space 1}{ralign 9:{res:{sf: .0308236}}}{space 1}{space 1}{ralign 9:{res:{sf: .1755666}}}{space 1}

{space 0}{space 0}{ralign 12:}{space 1}{c |}{space 1}{ralign 9:e(min)}{space 1}{space 1}{ralign 9:e(max)}{space 1}{space 1}{ralign 9:e(sum)}{space 1}
{space 0}{hline 13}{c   +}{hline 11}{hline 11}{hline 11}
{space 0}{space 0}{ralign 12:enph}{space 1}{c |}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf: 6.340858}}}{space 1}{space 1}{ralign 9:{res:{sf: 696.7106}}}{space 1}
{space 0}{space 0}{ralign 12:legis11}{space 1}{c |}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:      400}}}{space 1}
{space 0}{space 0}{ralign 12:personal}{space 1}{c |}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:      144}}}{space 1}
{space 0}{space 0}{ralign 12:frag}{space 1}{c |}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:       83}}}{space 1}
{space 0}{space 0}{ralign 12:unrest}{space 1}{c |}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:       28}}}{space 1}{space 1}{ralign 9:{res:{sf: 808.5714}}}{space 1}
{space 0}{space 0}{ralign 12:region}{space 1}{c |}{space 1}{ralign 9:{res:{sf:  .131579}}}{space 1}{space 1}{ralign 9:{res:{sf: .8684211}}}{space 1}{space 1}{ralign 9:{res:{sf: 197.6579}}}{space 1}
{space 0}{space 0}{ralign 12:e_miinterc}{space 1}{c |}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:      101}}}{space 1}
{space 0}{space 0}{ralign 12:e_miinteco}{space 1}{c |}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:       10}}}{space 1}
{space 0}{space 0}{ralign 12:pgdp}{space 1}{c |}{space 1}{ralign 9:{res:{sf: .3783529}}}{space 1}{space 1}{ralign 9:{res:{sf: 7.534588}}}{space 1}{space 1}{ralign 9:{res:{sf:  1168.21}}}{space 1}
{space 0}{space 0}{ralign 12:gpgdp}{space 1}{c |}{space 1}{ralign 9:{res:{sf:-.2862326}}}{space 1}{space 1}{ralign 9:{res:{sf: .1949204}}}{space 1}{space 1}{ralign 9:{res:{sf: 8.459033}}}{space 1}
{space 0}{space 0}{ralign 12:oilmin}{space 1}{c |}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:       67}}}{space 1}
{space 0}{space 0}{ralign 12:popm}{space 1}{c |}{space 1}{ralign 9:{res:{sf:      .77}}}{space 1}{space 1}{ralign 9:{res:{sf: 136.8364}}}{space 1}{space 1}{ralign 9:{res:{sf: 7727.356}}}{space 1}
{space 0}{space 0}{ralign 12:al_ethnic}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     .095}}}{space 1}{space 1}{ralign 9:{res:{sf: .7396251}}}{space 1}{space 1}{ralign 9:{res:{sf: 232.9337}}}{space 1}
{space 0}{space 0}{ralign 12:al_religion}{space 1}{c |}{space 1}{ralign 9:{res:{sf: .1350304}}}{space 1}{space 1}{ralign 9:{res:{sf: .6054302}}}{space 1}{space 1}{ralign 9:{res:{sf: 188.9005}}}{space 1}
{space 0}{space 0}{ralign 12:age}{space 1}{c |}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:       59}}}{space 1}{space 1}{ralign 9:{res:{sf:     7912}}}{space 1}
{space 0}{space 0}{ralign 12:age2}{space 1}{c |}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:     3481}}}{space 1}{space 1}{ralign 9:{res:{sf:   211810}}}{space 1}
{space 0}{space 0}{ralign 12:age3}{space 1}{c |}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:   205379}}}{space 1}{space 1}{ralign 9:{res:{sf:  7420420}}}{space 1}
{space 0}{space 0}{ralign 12:polinst_gwf}{space 1}{c |}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:       11}}}{space 1}{space 1}{ralign 9:{res:{sf:     1387}}}{space 1}
{space 0}{space 0}{ralign 12:polinst_cgv}{space 1}{c |}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        8}}}{space 1}{space 1}{ralign 9:{res:{sf:     1260}}}{space 1}
{space 0}{space 0}{ralign 12:polinst_sv}{space 1}{c |}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:       12}}}{space 1}{space 1}{ralign 9:{res:{sf:     1122}}}{space 1}
{space 0}{space 0}{ralign 12:ef_pre1945}{space 1}{c |}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:        7}}}{space 1}{space 1}{ralign 9:{res:{sf:     1112}}}{space 1}
{space 0}{space 0}{ralign 12:ef1}{space 1}{c |}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:        7}}}{space 1}{space 1}{ralign 9:{res:{sf:      772}}}{space 1}
{space 0}{space 0}{ralign 12:adm_pre1945}{space 1}{c |}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:     20.8}}}{space 1}{space 1}{ralign 9:{res:{sf:   3001.4}}}{space 1}
{space 0}{space 0}{ralign 12:end1_gwf}{space 1}{c |}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:       66}}}{space 1}
{space 0}{space 0}{ralign 12:end1_cgv}{space 1}{c |}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:       63}}}{space 1}
{space 0}{space 0}{ralign 12:end1_sv}{space 1}{c |}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:       59}}}{space 1}
{space 0}{space 0}{ralign 12:gwf_democr~n}{space 1}{c |}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:       28}}}{space 1}
{space 0}{space 0}{ralign 12:cgv_democr~n}{space 1}{c |}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:       32}}}{space 1}
{space 0}{space 0}{ralign 12:sv_democra~n}{space 1}{c |}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:       23}}}{space 1}
{space 0}{space 0}{ralign 12:gwf_topdown}{space 1}{c |}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:       17}}}{space 1}

{com}.   esttab using "TableA1.rtf", ///
>   cells("count(fmt(%9.0f)) mean(fmt(%9.2f)) min(fmt(%9.1f)) max(fmt(%9.1f))") drop(age2 age3) ///
>            legend label title("Table A1. Descriptive Statistics (Dictatorships)") mtitles replace
{res}{txt}{p 0 4 2}
(file {bf}
TableA1.rtf{rm}
not found)
{p_end}
{res}{txt}(output written to {browse  `"TableA1.rtf"'})

{com}. 
. ** Table A2 : Effect of Multipartism (no controls)
. eststo clear
{txt}
{com}. * Correct age
. replace age  = age_gwf
{txt}(0 real changes made)

{com}. replace age2 = age2_gwf
{txt}(0 real changes made)

{com}. replace age3 = age3_gwf
{txt}(0 real changes made)

{com}. * 1.1 Dictatorships with Legislature
. logit end1_gwf   c.enph                                                         ///
>       if legis11 == 1 & a_1 == 1

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-129.50288}  
Iteration 1:{space 2}Log likelihood = {res:-120.23006}  
Iteration 2:{space 2}Log likelihood = {res:-114.44844}  
Iteration 3:{space 2}Log likelihood = {res:-114.33765}  
Iteration 4:{space 2}Log likelihood = {res: -114.3376}  
Iteration 5:{space 2}Log likelihood = {res: -114.3376}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:395}
{txt}{col 57}{lalign 13:LR chi2({res:1})}{col 70} = {res}{ralign 6:30.33}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 9:-114.3376}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.1171}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    end1_gwf{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}enph {c |}{col 14}{res}{space 2} .7381444{col 26}{space 2} .1347616{col 37}{space 1}    5.48{col 46}{space 3}0.000{col 54}{space 4} .4740166{col 67}{space 3} 1.002272
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-3.719028{col 26}{space 2} .3630153{col 37}{space 1}  -10.24{col 46}{space 3}0.000{col 54}{space 4}-4.430525{col 67}{space 3}-3.007531
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.           estimates store A21
{txt}
{com}. * 1.2 All Dictatorships 
. logit end1_gwf   c.enph                                                         ///
>                  i.legis11                                                      ///
>           if a_1 == 1

{res}{txt}Iteration 0:{space 2}Log likelihood = {res: -203.3562}  
Iteration 1:{space 2}Log likelihood = {res:-191.36353}  
Iteration 2:{space 2}Log likelihood = {res:-187.48905}  
Iteration 3:{space 2}Log likelihood = {res:-187.45812}  
Iteration 4:{space 2}Log likelihood = {res:-187.45811}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:579}
{txt}{col 57}{lalign 13:LR chi2({res:2})}{col 70} = {res}{ralign 6:31.80}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-187.45811}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0782}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    end1_gwf{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}enph {c |}{col 14}{res}{space 2} .7381443{col 26}{space 2} .1347616{col 37}{space 1}    5.48{col 46}{space 3}0.000{col 54}{space 4} .4740165{col 67}{space 3} 1.002272
{txt}{space 3}1.legis11 {c |}{col 14}{res}{space 2}-1.868999{col 26}{space 2} .4219827{col 37}{space 1}   -4.43{col 46}{space 3}0.000{col 54}{space 4} -2.69607{col 67}{space 3}-1.041929
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-1.850028{col 26}{space 2} .2151495{col 37}{space 1}   -8.60{col 46}{space 3}0.000{col 54}{space 4}-2.271714{col 67}{space 3}-1.428343
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.           estimates store A22
{txt}
{com}.  lincom 1.legis11+enph*4

{p 0 7}{space 1}{text:( 1)}{space 1} {res}4{res}*{res}[end1_gwf]enph + [end1_gwf]1.legis11 = 0{p_end}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    end1_gwf{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}(1) {c |}{col 14}{res}{space 2} 1.083578{col 26}{space 2}  .356531{col 37}{space 1}    3.04{col 46}{space 3}0.002{col 54}{space 4} .3847899{col 67}{space 3} 1.782366
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.  
. logit gwf_bottomup   c.enph    i.legis11                             if a_1 == 1

{res}{txt}Iteration 0:{space 2}Log likelihood = {res: -23.43924}  
Iteration 1:{space 2}Log likelihood = {res:-22.766068}  
Iteration 2:{space 2}Log likelihood = {res:-22.474956}  
Iteration 3:{space 2}Log likelihood = {res: -22.44818}  
Iteration 4:{space 2}Log likelihood = {res:-22.447891}  
Iteration 5:{space 2}Log likelihood = {res:-22.447891}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:518}
{txt}{col 57}{lalign 13:LR chi2({res:2})}{col 70} = {res}{ralign 6:1.98}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.3711}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-22.447891}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0423}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}gwf_bottomup{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}enph {c |}{col 14}{res}{space 2}-1.990053{col 26}{space 2} 2.368603{col 37}{space 1}   -0.84{col 46}{space 3}0.401{col 54}{space 4} -6.63243{col 67}{space 3} 2.652325
{txt}{space 3}1.legis11 {c |}{col 14}{res}{space 2} 1.814793{col 26}{space 2} 2.891945{col 37}{space 1}    0.63{col 46}{space 3}0.530{col 54}{space 4}-3.853316{col 67}{space 3} 7.482901
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-4.375757{col 26}{space 2} .7115401{col 37}{space 1}   -6.15{col 46}{space 3}0.000{col 54}{space 4} -5.77035{col 67}{space 3}-2.981164
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.           estimates store A23
{txt}
{com}. 
.  
. * Table A2
. esttab A21 A22 A23 using "TableA2.rtf", cell(b(star fmt (%9.2f)) se(par)) mtitles("Dictatorships (with a legislature)" "Dictatorships (All cases)") ///
>        uns drop(: 0.legis11 ) ///
>        stats(N ll, fmt(%9.0g %9.3f) labels("N" "Log-L"))starlevels(* 0.05 ** 0.01) ///
>            legend label varlabels(_cons Constant) title("Table A2. Conditional Estimator of the Effect of Pluralism (no controls)") mtitles replace
{res}{txt}{p 0 4 2}
(file {bf}
TableA2.rtf{rm}
not found)
{p_end}
{res}{txt}(output written to {browse  `"TableA2.rtf"'})

{com}.            
. 
. *** Regime Termination
. eststo clear
{txt}
{com}. ** Table A3 : Cheibub, Gandhi & Vreeland
. * Correct age
. replace age  = age_cgv
{txt}(534 real changes made)

{com}. replace age2 = age2_cgv
{txt}(534 real changes made)

{com}. replace age3 = age3_cgv
{txt}(534 real changes made)

{com}. * A3.1 Dictatorships with legislatures
. logit end1_cgv  c.enph i.legis11                                                        if a_1 == 1

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-199.18556}  
Iteration 1:{space 2}Log likelihood = {res: -190.7421}  
Iteration 2:{space 2}Log likelihood = {res:-188.42609}  
Iteration 3:{space 2}Log likelihood = {res:-188.42185}  
Iteration 4:{space 2}Log likelihood = {res:-188.42185}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:579}
{txt}{col 57}{lalign 13:LR chi2({res:2})}{col 70} = {res}{ralign 6:21.53}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-188.42185}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0540}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    end1_cgv{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}enph {c |}{col 14}{res}{space 2} .6107962{col 26}{space 2} .1317277{col 37}{space 1}    4.64{col 46}{space 3}0.000{col 54}{space 4} .3526147{col 67}{space 3} .8689777
{txt}{space 3}1.legis11 {c |}{col 14}{res}{space 2}-1.557194{col 26}{space 2} .4118823{col 37}{space 1}   -3.78{col 46}{space 3}0.000{col 54}{space 4}-2.364469{col 67}{space 3}-.7499199
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -1.89712{col 26}{space 2} .2188988{col 37}{space 1}   -8.67{col 46}{space 3}0.000{col 54}{space 4}-2.326154{col 67}{space 3}-1.468086
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.                 estimates store A31
{txt}
{com}.                 
. * A3.2 Dictatorships, pretreatment controls 
. logit end1_cgv  $controls_pre $fordicts c.enph                                  if a_1 == 1

{res}{txt}Iteration 0:{space 2}Log likelihood = {res: -197.0771}  
Iteration 1:{space 2}Log likelihood = {res:-174.57153}  
Iteration 2:{space 2}Log likelihood = {res:-168.66973}  
Iteration 3:{space 2}Log likelihood = {res:-168.56364}  
Iteration 4:{space 2}Log likelihood = {res:-168.56334}  
Iteration 5:{space 2}Log likelihood = {res:-168.56334}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:561}
{txt}{col 57}{lalign 13:LR chi2({res:15})}{col 70} = {res}{ralign 6:57.03}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-168.56334}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.1447}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    end1_cgv{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}region {c |}{col 14}{res}{space 2} 2.185512{col 26}{space 2} 1.025368{col 37}{space 1}    2.13{col 46}{space 3}0.033{col 54}{space 4} .1758265{col 67}{space 3} 4.195197
{txt}{space 2}e_miinterc {c |}{col 14}{res}{space 2} .8460925{col 26}{space 2} .3312056{col 37}{space 1}    2.55{col 46}{space 3}0.011{col 54}{space 4} .1969415{col 67}{space 3} 1.495244
{txt}{space 2}e_miinteco {c |}{col 14}{res}{space 2} 1.309266{col 26}{space 2} .7652195{col 37}{space 1}    1.71{col 46}{space 3}0.087{col 54}{space 4}-.1905363{col 67}{space 3} 2.809069
{txt}{space 8}pgdp {c |}{col 14}{res}{space 2}-.0938256{col 26}{space 2} .1131784{col 37}{space 1}   -0.83{col 46}{space 3}0.407{col 54}{space 4}-.3156511{col 67}{space 3} .1279999
{txt}{space 7}gpgdp {c |}{col 14}{res}{space 2}-6.296287{col 26}{space 2} 2.832269{col 37}{space 1}   -2.22{col 46}{space 3}0.026{col 54}{space 4}-11.84743{col 67}{space 3}-.7451413
{txt}{space 6}oilmin {c |}{col 14}{res}{space 2}-.2336109{col 26}{space 2} .4720327{col 37}{space 1}   -0.49{col 46}{space 3}0.621{col 54}{space 4}-1.158778{col 67}{space 3} .6915561
{txt}{space 8}popm {c |}{col 14}{res}{space 2} .0019674{col 26}{space 2} .0103014{col 37}{space 1}    0.19{col 46}{space 3}0.849{col 54}{space 4}-.0182229{col 67}{space 3} .0221577
{txt}{space 3}al_ethnic {c |}{col 14}{res}{space 2}-.0999868{col 26}{space 2} .8354469{col 37}{space 1}   -0.12{col 46}{space 3}0.905{col 54}{space 4}-1.737433{col 67}{space 3} 1.537459
{txt}{space 1}al_religion {c |}{col 14}{res}{space 2}-4.914657{col 26}{space 2} 1.492303{col 37}{space 1}   -3.29{col 46}{space 3}0.001{col 54}{space 4}-7.839516{col 67}{space 3}-1.989797
{txt}{space 9}age {c |}{col 14}{res}{space 2} .2127279{col 26}{space 2} .0975125{col 37}{space 1}    2.18{col 46}{space 3}0.029{col 54}{space 4} .0216069{col 67}{space 3}  .403849
{txt}{space 8}age2 {c |}{col 14}{res}{space 2}-.0133695{col 26}{space 2} .0058697{col 37}{space 1}   -2.28{col 46}{space 3}0.023{col 54}{space 4}-.0248739{col 67}{space 3} -.001865
{txt}{space 8}age3 {c |}{col 14}{res}{space 2} .0002094{col 26}{space 2} .0000905{col 37}{space 1}    2.31{col 46}{space 3}0.021{col 54}{space 4} .0000321{col 67}{space 3} .0003866
{txt}{space 3}1.legis11 {c |}{col 14}{res}{space 2} -1.67446{col 26}{space 2} .5496327{col 37}{space 1}   -3.05{col 46}{space 3}0.002{col 54}{space 4} -2.75172{col 67}{space 3}-.5971997
{txt}{space 4}personal {c |}{col 14}{res}{space 2}  .204871{col 26}{space 2} .4028546{col 37}{space 1}    0.51{col 46}{space 3}0.611{col 54}{space 4}-.5847096{col 67}{space 3} .9944516
{txt}{space 8}enph {c |}{col 14}{res}{space 2} .6175484{col 26}{space 2} .1644206{col 37}{space 1}    3.76{col 46}{space 3}0.000{col 54}{space 4} .2952899{col 67}{space 3} .9398068
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-1.703798{col 26}{space 2} .7837152{col 37}{space 1}   -2.17{col 46}{space 3}0.030{col 54}{space 4}-3.239851{col 67}{space 3}-.1677443
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.        estimates store A32      
{txt}
{com}. 
. * A3.3 All Dictatorships, all controls 
. logit end1_cgv  $controls $fordicts c.enph                                      if a_1 == 1

{res}{txt}Iteration 0:{space 2}Log likelihood = {res: -197.0771}  
Iteration 1:{space 2}Log likelihood = {res:-174.22558}  
Iteration 2:{space 2}Log likelihood = {res:-168.30603}  
Iteration 3:{space 2}Log likelihood = {res:-168.20069}  
Iteration 4:{space 2}Log likelihood = {res:-168.20041}  
Iteration 5:{space 2}Log likelihood = {res:-168.20041}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:561}
{txt}{col 57}{lalign 13:LR chi2({res:17})}{col 70} = {res}{ralign 6:57.75}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-168.20041}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.1465}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    end1_cgv{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}frag {c |}{col 14}{res}{space 2}-.2742005{col 26}{space 2} .5311696{col 37}{space 1}   -0.52{col 46}{space 3}0.606{col 54}{space 4}-1.315274{col 67}{space 3} .7668728
{txt}{space 6}unrest {c |}{col 14}{res}{space 2} .0360875{col 26}{space 2} .0483568{col 37}{space 1}    0.75{col 46}{space 3}0.456{col 54}{space 4}-.0586901{col 67}{space 3}  .130865
{txt}{space 6}region {c |}{col 14}{res}{space 2} 2.264965{col 26}{space 2} 1.102922{col 37}{space 1}    2.05{col 46}{space 3}0.040{col 54}{space 4} .1032769{col 67}{space 3} 4.426653
{txt}{space 2}e_miinterc {c |}{col 14}{res}{space 2} .7999378{col 26}{space 2} .3365457{col 37}{space 1}    2.38{col 46}{space 3}0.017{col 54}{space 4} .1403204{col 67}{space 3} 1.459555
{txt}{space 2}e_miinteco {c |}{col 14}{res}{space 2} 1.258923{col 26}{space 2} .7731089{col 37}{space 1}    1.63{col 46}{space 3}0.103{col 54}{space 4}-.2563429{col 67}{space 3} 2.774188
{txt}{space 8}pgdp {c |}{col 14}{res}{space 2}-.1038854{col 26}{space 2} .1136592{col 37}{space 1}   -0.91{col 46}{space 3}0.361{col 54}{space 4}-.3266533{col 67}{space 3} .1188824
{txt}{space 7}gpgdp {c |}{col 14}{res}{space 2}-6.315325{col 26}{space 2} 2.847141{col 37}{space 1}   -2.22{col 46}{space 3}0.027{col 54}{space 4}-11.89562{col 67}{space 3} -.735031
{txt}{space 6}oilmin {c |}{col 14}{res}{space 2}-.2830179{col 26}{space 2} .4763457{col 37}{space 1}   -0.59{col 46}{space 3}0.552{col 54}{space 4}-1.216638{col 67}{space 3} .6506026
{txt}{space 8}popm {c |}{col 14}{res}{space 2} .0031149{col 26}{space 2} .0109077{col 37}{space 1}    0.29{col 46}{space 3}0.775{col 54}{space 4}-.0182638{col 67}{space 3} .0244937
{txt}{space 3}al_ethnic {c |}{col 14}{res}{space 2}-.0044167{col 26}{space 2} .8451253{col 37}{space 1}   -0.01{col 46}{space 3}0.996{col 54}{space 4}-1.660832{col 67}{space 3} 1.651999
{txt}{space 1}al_religion {c |}{col 14}{res}{space 2}-5.108003{col 26}{space 2}   1.5345{col 37}{space 1}   -3.33{col 46}{space 3}0.001{col 54}{space 4}-8.115567{col 67}{space 3}-2.100439
{txt}{space 9}age {c |}{col 14}{res}{space 2} .2015579{col 26}{space 2} .0992958{col 37}{space 1}    2.03{col 46}{space 3}0.042{col 54}{space 4} .0069417{col 67}{space 3}  .396174
{txt}{space 8}age2 {c |}{col 14}{res}{space 2}-.0127491{col 26}{space 2} .0059812{col 37}{space 1}   -2.13{col 46}{space 3}0.033{col 54}{space 4}-.0244721{col 67}{space 3}-.0010262
{txt}{space 8}age3 {c |}{col 14}{res}{space 2} .0002004{col 26}{space 2} .0000921{col 37}{space 1}    2.18{col 46}{space 3}0.030{col 54}{space 4} .0000199{col 67}{space 3} .0003809
{txt}{space 3}1.legis11 {c |}{col 14}{res}{space 2}-1.674117{col 26}{space 2} .5539778{col 37}{space 1}   -3.02{col 46}{space 3}0.003{col 54}{space 4}-2.759893{col 67}{space 3}-.5883401
{txt}{space 4}personal {c |}{col 14}{res}{space 2} .2350758{col 26}{space 2} .4054345{col 37}{space 1}    0.58{col 46}{space 3}0.562{col 54}{space 4}-.5595612{col 67}{space 3} 1.029713
{txt}{space 8}enph {c |}{col 14}{res}{space 2} .6637707{col 26}{space 2} .1874114{col 37}{space 1}    3.54{col 46}{space 3}0.000{col 54}{space 4} .2964511{col 67}{space 3}  1.03109
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-1.728037{col 26}{space 2} .7932562{col 37}{space 1}   -2.18{col 46}{space 3}0.029{col 54}{space 4} -3.28279{col 67}{space 3} -.173283
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.        estimates store A33
{txt}
{com}. 
. * A3.4 Transitions to democracy and dictatorship, all dictatorships, all controls
. mlogit end2_cgv $controls $fordicts c.enph                                      if a_1 == 1

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-254.43334}  
Iteration 1:{space 2}Log likelihood = {res:-213.68122}  
Iteration 2:{space 2}Log likelihood = {res:-193.39739}  
Iteration 3:{space 2}Log likelihood = {res:-189.99841}  
Iteration 4:{space 2}Log likelihood = {res:-189.25088}  
Iteration 5:{space 2}Log likelihood = {res: -189.0461}  
Iteration 6:{space 2}Log likelihood = {res:-188.88514}  
Iteration 7:{space 2}Log likelihood = {res: -188.8234}  
Iteration 8:{space 2}Log likelihood = {res:-188.81791}  
Iteration 9:{space 2}Log likelihood = {res:-188.81778}  
Iteration 10:{space 1}Log likelihood = {res:-188.81776}  
Iteration 11:{space 1}Log likelihood = {res:-188.81775}  
{res}
{txt}{col 1}Multinomial logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:561}
{txt}{col 57}{lalign 13:LR chi2({res:51})}{col 70} = {res}{ralign 6:131.23}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-188.81775}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.2579}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    end2_cgv{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}0           {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}D__A         {txt}{c |}
{space 8}frag {c |}{col 14}{res}{space 2} 1.468447{col 26}{space 2}  1.67387{col 37}{space 1}    0.88{col 46}{space 3}0.380{col 54}{space 4}-1.812277{col 67}{space 3} 4.749172
{txt}{space 6}unrest {c |}{col 14}{res}{space 2} .3099914{col 26}{space 2} .2472676{col 37}{space 1}    1.25{col 46}{space 3}0.210{col 54}{space 4}-.1746442{col 67}{space 3} .7946271
{txt}{space 6}region {c |}{col 14}{res}{space 2}-2.299037{col 26}{space 2} 6.864282{col 37}{space 1}   -0.33{col 46}{space 3}0.738{col 54}{space 4}-15.75278{col 67}{space 3} 11.15471
{txt}{space 2}e_miinterc {c |}{col 14}{res}{space 2} 1.166082{col 26}{space 2} 2.008043{col 37}{space 1}    0.58{col 46}{space 3}0.561{col 54}{space 4}-2.769611{col 67}{space 3} 5.101774
{txt}{space 2}e_miinteco {c |}{col 14}{res}{space 2}-16.44402{col 26}{space 2} 11475.65{col 37}{space 1}   -0.00{col 46}{space 3}0.999{col 54}{space 4}-22508.31{col 67}{space 3} 22475.42
{txt}{space 8}pgdp {c |}{col 14}{res}{space 2} .5329152{col 26}{space 2} .8979724{col 37}{space 1}    0.59{col 46}{space 3}0.553{col 54}{space 4}-1.227078{col 67}{space 3} 2.292909
{txt}{space 7}gpgdp {c |}{col 14}{res}{space 2} 10.26578{col 26}{space 2} 18.99527{col 37}{space 1}    0.54{col 46}{space 3}0.589{col 54}{space 4}-26.96426{col 67}{space 3} 47.49582
{txt}{space 6}oilmin {c |}{col 14}{res}{space 2}-15.87116{col 26}{space 2} 3126.312{col 37}{space 1}   -0.01{col 46}{space 3}0.996{col 54}{space 4} -6143.33{col 67}{space 3} 6111.588
{txt}{space 8}popm {c |}{col 14}{res}{space 2} -.152624{col 26}{space 2} .1592403{col 37}{space 1}   -0.96{col 46}{space 3}0.338{col 54}{space 4}-.4647292{col 67}{space 3} .1594811
{txt}{space 3}al_ethnic {c |}{col 14}{res}{space 2} 1.591786{col 26}{space 2} 7.271468{col 37}{space 1}    0.22{col 46}{space 3}0.827{col 54}{space 4}-12.66003{col 67}{space 3}  15.8436
{txt}{space 1}al_religion {c |}{col 14}{res}{space 2}-24.67144{col 26}{space 2} 11.60356{col 37}{space 1}   -2.13{col 46}{space 3}0.033{col 54}{space 4}-47.41399{col 67}{space 3}-1.928885
{txt}{space 9}age {c |}{col 14}{res}{space 2}-.0053144{col 26}{space 2} 1.474759{col 37}{space 1}   -0.00{col 46}{space 3}0.997{col 54}{space 4}-2.895789{col 67}{space 3}  2.88516
{txt}{space 8}age2 {c |}{col 14}{res}{space 2} .0819866{col 26}{space 2} .1789862{col 37}{space 1}    0.46{col 46}{space 3}0.647{col 54}{space 4}-.2688199{col 67}{space 3} .4327931
{txt}{space 8}age3 {c |}{col 14}{res}{space 2}-.0035628{col 26}{space 2} .0061665{col 37}{space 1}   -0.58{col 46}{space 3}0.563{col 54}{space 4} -.015649{col 67}{space 3} .0085234
{txt}{space 3}1.legis11 {c |}{col 14}{res}{space 2} 10.67214{col 26}{space 2} 1860.423{col 37}{space 1}    0.01{col 46}{space 3}0.995{col 54}{space 4}-3635.689{col 67}{space 3} 3657.033
{txt}{space 4}personal {c |}{col 14}{res}{space 2}  6.23146{col 26}{space 2} 3.191097{col 37}{space 1}    1.95{col 46}{space 3}0.051{col 54}{space 4}-.0229749{col 67}{space 3} 12.48589
{txt}{space 8}enph {c |}{col 14}{res}{space 2}  2.20508{col 26}{space 2} 1.254361{col 37}{space 1}    1.76{col 46}{space 3}0.079{col 54}{space 4}-.2534218{col 67}{space 3} 4.663582
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-21.23377{col 26}{space 2} 1860.429{col 37}{space 1}   -0.01{col 46}{space 3}0.991{col 54}{space 4}-3667.607{col 67}{space 3}  3625.14
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}A__A         {txt}{c |}
{space 8}frag {c |}{col 14}{res}{space 2} .1714101{col 26}{space 2} .9336348{col 37}{space 1}    0.18{col 46}{space 3}0.854{col 54}{space 4} -1.65848{col 67}{space 3} 2.001301
{txt}{space 6}unrest {c |}{col 14}{res}{space 2} .0722085{col 26}{space 2} .0818007{col 37}{space 1}    0.88{col 46}{space 3}0.377{col 54}{space 4}-.0881179{col 67}{space 3} .2325348
{txt}{space 6}region {c |}{col 14}{res}{space 2} 2.352564{col 26}{space 2} 1.719203{col 37}{space 1}    1.37{col 46}{space 3}0.171{col 54}{space 4}-1.017012{col 67}{space 3}  5.72214
{txt}{space 2}e_miinterc {c |}{col 14}{res}{space 2} 1.133688{col 26}{space 2}   .54425{col 37}{space 1}    2.08{col 46}{space 3}0.037{col 54}{space 4} .0669779{col 67}{space 3} 2.200399
{txt}{space 2}e_miinteco {c |}{col 14}{res}{space 2} 1.456107{col 26}{space 2} 1.243382{col 37}{space 1}    1.17{col 46}{space 3}0.242{col 54}{space 4}-.9808757{col 67}{space 3} 3.893091
{txt}{space 8}pgdp {c |}{col 14}{res}{space 2}-.6893639{col 26}{space 2} .3806309{col 37}{space 1}   -1.81{col 46}{space 3}0.070{col 54}{space 4}-1.435387{col 67}{space 3} .0566589
{txt}{space 7}gpgdp {c |}{col 14}{res}{space 2}-11.29608{col 26}{space 2} 4.055911{col 37}{space 1}   -2.79{col 46}{space 3}0.005{col 54}{space 4}-19.24552{col 67}{space 3}-3.346643
{txt}{space 6}oilmin {c |}{col 14}{res}{space 2}-.3965522{col 26}{space 2} .8445149{col 37}{space 1}   -0.47{col 46}{space 3}0.639{col 54}{space 4}-2.051771{col 67}{space 3} 1.258667
{txt}{space 8}popm {c |}{col 14}{res}{space 2}-.0153641{col 26}{space 2}   .03554{col 37}{space 1}   -0.43{col 46}{space 3}0.666{col 54}{space 4}-.0850212{col 67}{space 3} .0542931
{txt}{space 3}al_ethnic {c |}{col 14}{res}{space 2}  2.05004{col 26}{space 2} 1.496782{col 37}{space 1}    1.37{col 46}{space 3}0.171{col 54}{space 4}-.8835993{col 67}{space 3}  4.98368
{txt}{space 1}al_religion {c |}{col 14}{res}{space 2}-3.825073{col 26}{space 2} 2.572423{col 37}{space 1}   -1.49{col 46}{space 3}0.137{col 54}{space 4}-8.866929{col 67}{space 3} 1.216784
{txt}{space 9}age {c |}{col 14}{res}{space 2} .2490964{col 26}{space 2} .1524245{col 37}{space 1}    1.63{col 46}{space 3}0.102{col 54}{space 4}-.0496501{col 67}{space 3} .5478429
{txt}{space 8}age2 {c |}{col 14}{res}{space 2}-.0152862{col 26}{space 2} .0087045{col 37}{space 1}   -1.76{col 46}{space 3}0.079{col 54}{space 4}-.0323467{col 67}{space 3} .0017742
{txt}{space 8}age3 {c |}{col 14}{res}{space 2} .0002448{col 26}{space 2} .0001295{col 37}{space 1}    1.89{col 46}{space 3}0.059{col 54}{space 4}-9.01e-06{col 67}{space 3} .0004985
{txt}{space 3}1.legis11 {c |}{col 14}{res}{space 2} .8054243{col 26}{space 2} .9468635{col 37}{space 1}    0.85{col 46}{space 3}0.395{col 54}{space 4}-1.050394{col 67}{space 3} 2.661243
{txt}{space 4}personal {c |}{col 14}{res}{space 2}-.0647692{col 26}{space 2} .6087865{col 37}{space 1}   -0.11{col 46}{space 3}0.915{col 54}{space 4}-1.257969{col 67}{space 3}  1.12843
{txt}{space 8}enph {c |}{col 14}{res}{space 2}-.4896133{col 26}{space 2} .4530208{col 37}{space 1}   -1.08{col 46}{space 3}0.280{col 54}{space 4}-1.377518{col 67}{space 3} .3982912
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-3.492236{col 26}{space 2} 1.321357{col 37}{space 1}   -2.64{col 46}{space 3}0.008{col 54}{space 4}-6.082048{col 67}{space 3} -.902423
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}A__D         {txt}{c |}
{space 8}frag {c |}{col 14}{res}{space 2}-.4408993{col 26}{space 2} .7488124{col 37}{space 1}   -0.59{col 46}{space 3}0.556{col 54}{space 4}-1.908545{col 67}{space 3} 1.026746
{txt}{space 6}unrest {c |}{col 14}{res}{space 2}-.0690306{col 26}{space 2} .0857952{col 37}{space 1}   -0.80{col 46}{space 3}0.421{col 54}{space 4} -.237186{col 67}{space 3} .0991249
{txt}{space 6}region {c |}{col 14}{res}{space 2} 3.722167{col 26}{space 2} 1.610205{col 37}{space 1}    2.31{col 46}{space 3}0.021{col 54}{space 4} .5662225{col 67}{space 3} 6.878111
{txt}{space 2}e_miinterc {c |}{col 14}{res}{space 2} .9544751{col 26}{space 2} .4692589{col 37}{space 1}    2.03{col 46}{space 3}0.042{col 54}{space 4} .0347445{col 67}{space 3} 1.874206
{txt}{space 2}e_miinteco {c |}{col 14}{res}{space 2} 2.376501{col 26}{space 2} .9972492{col 37}{space 1}    2.38{col 46}{space 3}0.017{col 54}{space 4} .4219281{col 67}{space 3} 4.331073
{txt}{space 8}pgdp {c |}{col 14}{res}{space 2} .0272364{col 26}{space 2} .1319872{col 37}{space 1}    0.21{col 46}{space 3}0.837{col 54}{space 4}-.2314536{col 67}{space 3} .2859265
{txt}{space 7}gpgdp {c |}{col 14}{res}{space 2} 2.074378{col 26}{space 2} 4.808056{col 37}{space 1}    0.43{col 46}{space 3}0.666{col 54}{space 4}-7.349239{col 67}{space 3}   11.498
{txt}{space 6}oilmin {c |}{col 14}{res}{space 2} -.214236{col 26}{space 2} .5985339{col 37}{space 1}   -0.36{col 46}{space 3}0.720{col 54}{space 4}-1.387341{col 67}{space 3} .9588689
{txt}{space 8}popm {c |}{col 14}{res}{space 2} .0126796{col 26}{space 2} .0124232{col 37}{space 1}    1.02{col 46}{space 3}0.307{col 54}{space 4}-.0116695{col 67}{space 3} .0370287
{txt}{space 3}al_ethnic {c |}{col 14}{res}{space 2}-.4027346{col 26}{space 2} 1.194042{col 37}{space 1}   -0.34{col 46}{space 3}0.736{col 54}{space 4}-2.743014{col 67}{space 3} 1.937545
{txt}{space 1}al_religion {c |}{col 14}{res}{space 2}-6.123694{col 26}{space 2} 2.225052{col 37}{space 1}   -2.75{col 46}{space 3}0.006{col 54}{space 4}-10.48471{col 67}{space 3}-1.762672
{txt}{space 9}age {c |}{col 14}{res}{space 2} .2413953{col 26}{space 2} .1611016{col 37}{space 1}    1.50{col 46}{space 3}0.134{col 54}{space 4}-.0743581{col 67}{space 3} .5571487
{txt}{space 8}age2 {c |}{col 14}{res}{space 2}-.0134608{col 26}{space 2} .0108938{col 37}{space 1}   -1.24{col 46}{space 3}0.217{col 54}{space 4}-.0348122{col 67}{space 3} .0078907
{txt}{space 8}age3 {c |}{col 14}{res}{space 2} .0001732{col 26}{space 2} .0001895{col 37}{space 1}    0.91{col 46}{space 3}0.361{col 54}{space 4}-.0001982{col 67}{space 3} .0005446
{txt}{space 3}1.legis11 {c |}{col 14}{res}{space 2}-3.349183{col 26}{space 2} .9041322{col 37}{space 1}   -3.70{col 46}{space 3}0.000{col 54}{space 4}-5.121249{col 67}{space 3}-1.577116
{txt}{space 4}personal {c |}{col 14}{res}{space 2}-1.627002{col 26}{space 2} .9614043{col 37}{space 1}   -1.69{col 46}{space 3}0.091{col 54}{space 4} -3.51132{col 67}{space 3} .2573158
{txt}{space 8}enph {c |}{col 14}{res}{space 2} 1.148701{col 26}{space 2} .2724342{col 37}{space 1}    4.22{col 46}{space 3}0.000{col 54}{space 4} .6147395{col 67}{space 3} 1.682662
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-2.558137{col 26}{space 2} 1.158895{col 37}{space 1}   -2.21{col 46}{space 3}0.027{col 54}{space 4}-4.829529{col 67}{space 3}-.2867455
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         estimates store A34
{txt}
{com}. 
. * Table A3
. esttab A31 A32 A33 A34 using "TableA3.rtf", cell(b(star fmt (%9.2f)) se(par)) mtitles(Dictats Dictats Dictats Dictats Democracies) ///
>        uns drop(: 0.legis11 0: D__A:) ///
>        stats(N ll, fmt(%9.0g %9.3f) labels("N" "Log-L"))starlevels(* 0.05 ** 0.01) ///
>            o(enph 1.legis11 personal $controls ) ///
>            legend label varlabels(_cons Constant) title("Table A3. Regime Termination (Cheibub, Gandhi & Vreeland)") mtitles replace
{res}{txt}{p 0 4 2}
(file {bf}
TableA3.rtf{rm}
not found)
{p_end}
{res}{txt}(output written to {browse  `"TableA3.rtf"'})

{com}. 
. ** Table A4 : Svolik
. eststo clear
{txt}
{com}. * Correct age
. replace age  = age_sv
{txt}(499 real changes made)

{com}. replace age2 = age2_sv
{txt}(499 real changes made)

{com}. replace age3 = age3_sv
{txt}(499 real changes made)

{com}. 
. * A4.1 Dictatorships with legislatures
. logit end1_sv  c.enph  legis11                                                                          if a_1 == 1

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-190.62844}  
Iteration 1:{space 2}Log likelihood = {res:-183.41948}  
Iteration 2:{space 2}Log likelihood = {res:-182.84071}  
Iteration 3:{space 2}Log likelihood = {res:-182.83911}  
Iteration 4:{space 2}Log likelihood = {res:-182.83911}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:579}
{txt}{col 57}{lalign 13:LR chi2({res:2})}{col 70} = {res}{ralign 6:15.58}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0004}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-182.83911}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0409}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     end1_sv{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}enph {c |}{col 14}{res}{space 2} .4700701{col 26}{space 2} .1397658{col 37}{space 1}    3.36{col 46}{space 3}0.001{col 54}{space 4} .1961341{col 67}{space 3} .7440061
{txt}{space 5}legis11 {c |}{col 14}{res}{space 2}-1.604315{col 26}{space 2} .4195883{col 37}{space 1}   -3.82{col 46}{space 3}0.000{col 54}{space 4}-2.426693{col 67}{space 3}-.7819371
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-1.760409{col 26}{space 2} .2083422{col 37}{space 1}   -8.45{col 46}{space 3}0.000{col 54}{space 4}-2.168752{col 67}{space 3}-1.352066
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.                 estimates store A41
{txt}
{com}.                 
. * A4.2 Dictatorships, pretreatment controls 
. logit end1_sv  $controls_pre $fordicts c.enph                                   if a_1 == 1

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-188.66146}  
Iteration 1:{space 2}Log likelihood = {res:-168.59502}  
Iteration 2:{space 2}Log likelihood = {res: -164.0779}  
Iteration 3:{space 2}Log likelihood = {res:-163.63696}  
Iteration 4:{space 2}Log likelihood = {res:-163.62153}  
Iteration 5:{space 2}Log likelihood = {res:-163.62151}  
Iteration 6:{space 2}Log likelihood = {res:-163.62151}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:561}
{txt}{col 57}{lalign 13:LR chi2({res:15})}{col 70} = {res}{ralign 6:50.08}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-163.62151}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.1327}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     end1_sv{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}region {c |}{col 14}{res}{space 2} 1.866907{col 26}{space 2} 1.148818{col 37}{space 1}    1.63{col 46}{space 3}0.104{col 54}{space 4}-.3847359{col 67}{space 3} 4.118549
{txt}{space 2}e_miinterc {c |}{col 14}{res}{space 2} 1.022355{col 26}{space 2} .3281536{col 37}{space 1}    3.12{col 46}{space 3}0.002{col 54}{space 4} .3791855{col 67}{space 3} 1.665524
{txt}{space 2}e_miinteco {c |}{col 14}{res}{space 2} .1043462{col 26}{space 2}  .898776{col 37}{space 1}    0.12{col 46}{space 3}0.908{col 54}{space 4}-1.657222{col 67}{space 3} 1.865915
{txt}{space 8}pgdp {c |}{col 14}{res}{space 2} .1085141{col 26}{space 2} .1113993{col 37}{space 1}    0.97{col 46}{space 3}0.330{col 54}{space 4}-.1098245{col 67}{space 3} .3268527
{txt}{space 7}gpgdp {c |}{col 14}{res}{space 2}-8.439028{col 26}{space 2} 2.873498{col 37}{space 1}   -2.94{col 46}{space 3}0.003{col 54}{space 4}-14.07098{col 67}{space 3}-2.807075
{txt}{space 6}oilmin {c |}{col 14}{res}{space 2}-.2209678{col 26}{space 2} .4670452{col 37}{space 1}   -0.47{col 46}{space 3}0.636{col 54}{space 4} -1.13636{col 67}{space 3}  .694424
{txt}{space 8}popm {c |}{col 14}{res}{space 2}-.0308799{col 26}{space 2} .0244862{col 37}{space 1}   -1.26{col 46}{space 3}0.207{col 54}{space 4}-.0788721{col 67}{space 3} .0171122
{txt}{space 3}al_ethnic {c |}{col 14}{res}{space 2}-.0976569{col 26}{space 2} .8353345{col 37}{space 1}   -0.12{col 46}{space 3}0.907{col 54}{space 4}-1.734882{col 67}{space 3} 1.539569
{txt}{space 1}al_religion {c |}{col 14}{res}{space 2}-4.966918{col 26}{space 2} 1.641481{col 37}{space 1}   -3.03{col 46}{space 3}0.002{col 54}{space 4}-8.184161{col 67}{space 3}-1.749674
{txt}{space 9}age {c |}{col 14}{res}{space 2} .1532072{col 26}{space 2}  .086901{col 37}{space 1}    1.76{col 46}{space 3}0.078{col 54}{space 4}-.0171157{col 67}{space 3}   .32353
{txt}{space 8}age2 {c |}{col 14}{res}{space 2}-.0082605{col 26}{space 2} .0047253{col 37}{space 1}   -1.75{col 46}{space 3}0.080{col 54}{space 4}-.0175219{col 67}{space 3}  .001001
{txt}{space 8}age3 {c |}{col 14}{res}{space 2} .0000995{col 26}{space 2} .0000662{col 37}{space 1}    1.50{col 46}{space 3}0.133{col 54}{space 4}-.0000302{col 67}{space 3} .0002292
{txt}{space 3}1.legis11 {c |}{col 14}{res}{space 2}-1.346753{col 26}{space 2}  .540924{col 37}{space 1}   -2.49{col 46}{space 3}0.013{col 54}{space 4}-2.406944{col 67}{space 3}-.2865613
{txt}{space 4}personal {c |}{col 14}{res}{space 2} .2862201{col 26}{space 2}  .406981{col 37}{space 1}    0.70{col 46}{space 3}0.482{col 54}{space 4}-.5114481{col 67}{space 3} 1.083888
{txt}{space 8}enph {c |}{col 14}{res}{space 2} .3820707{col 26}{space 2} .1699989{col 37}{space 1}    2.25{col 46}{space 3}0.025{col 54}{space 4} .0488789{col 67}{space 3} .7152625
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-1.472066{col 26}{space 2}  .832127{col 37}{space 1}   -1.77{col 46}{space 3}0.077{col 54}{space 4}-3.103005{col 67}{space 3} .1588725
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.        estimates store A42      
{txt}
{com}. 
. * A4.3 All Dictatorships, all controls 
. logit end1_sv  $controls $fordicts c.enph                                       if a_1 == 1

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-188.66146}  
Iteration 1:{space 2}Log likelihood = {res:-167.39591}  
Iteration 2:{space 2}Log likelihood = {res: -162.6017}  
Iteration 3:{space 2}Log likelihood = {res:-162.16356}  
Iteration 4:{space 2}Log likelihood = {res:-162.14226}  
Iteration 5:{space 2}Log likelihood = {res:-162.14218}  
Iteration 6:{space 2}Log likelihood = {res:-162.14218}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:561}
{txt}{col 57}{lalign 13:LR chi2({res:17})}{col 70} = {res}{ralign 6:53.04}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-162.14218}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.1406}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     end1_sv{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}frag {c |}{col 14}{res}{space 2}-.9350003{col 26}{space 2}  .677435{col 37}{space 1}   -1.38{col 46}{space 3}0.168{col 54}{space 4}-2.262748{col 67}{space 3} .3927478
{txt}{space 6}unrest {c |}{col 14}{res}{space 2} .0518554{col 26}{space 2} .0490162{col 37}{space 1}    1.06{col 46}{space 3}0.290{col 54}{space 4}-.0442147{col 67}{space 3} .1479254
{txt}{space 6}region {c |}{col 14}{res}{space 2}  2.23761{col 26}{space 2} 1.230712{col 37}{space 1}    1.82{col 46}{space 3}0.069{col 54}{space 4}-.1745406{col 67}{space 3} 4.649761
{txt}{space 2}e_miinterc {c |}{col 14}{res}{space 2}  .924134{col 26}{space 2} .3346573{col 37}{space 1}    2.76{col 46}{space 3}0.006{col 54}{space 4} .2682177{col 67}{space 3}  1.58005
{txt}{space 2}e_miinteco {c |}{col 14}{res}{space 2}-.1029799{col 26}{space 2}  .954916{col 37}{space 1}   -0.11{col 46}{space 3}0.914{col 54}{space 4}-1.974581{col 67}{space 3} 1.768621
{txt}{space 8}pgdp {c |}{col 14}{res}{space 2} .0899189{col 26}{space 2} .1133666{col 37}{space 1}    0.79{col 46}{space 3}0.428{col 54}{space 4}-.1322756{col 67}{space 3} .3121134
{txt}{space 7}gpgdp {c |}{col 14}{res}{space 2}-8.603331{col 26}{space 2} 2.884744{col 37}{space 1}   -2.98{col 46}{space 3}0.003{col 54}{space 4}-14.25733{col 67}{space 3}-2.949336
{txt}{space 6}oilmin {c |}{col 14}{res}{space 2}-.3102768{col 26}{space 2} .4760425{col 37}{space 1}   -0.65{col 46}{space 3}0.515{col 54}{space 4}-1.243303{col 67}{space 3} .6227495
{txt}{space 8}popm {c |}{col 14}{res}{space 2}-.0296291{col 26}{space 2} .0261528{col 37}{space 1}   -1.13{col 46}{space 3}0.257{col 54}{space 4}-.0808876{col 67}{space 3} .0216294
{txt}{space 3}al_ethnic {c |}{col 14}{res}{space 2} .0963746{col 26}{space 2} .8497607{col 37}{space 1}    0.11{col 46}{space 3}0.910{col 54}{space 4}-1.569126{col 67}{space 3} 1.761875
{txt}{space 1}al_religion {c |}{col 14}{res}{space 2}-5.301548{col 26}{space 2} 1.653253{col 37}{space 1}   -3.21{col 46}{space 3}0.001{col 54}{space 4}-8.541864{col 67}{space 3}-2.061231
{txt}{space 9}age {c |}{col 14}{res}{space 2} .1541984{col 26}{space 2} .0872705{col 37}{space 1}    1.77{col 46}{space 3}0.077{col 54}{space 4}-.0168487{col 67}{space 3} .3252454
{txt}{space 8}age2 {c |}{col 14}{res}{space 2}-.0085961{col 26}{space 2} .0047429{col 37}{space 1}   -1.81{col 46}{space 3}0.070{col 54}{space 4} -.017892{col 67}{space 3} .0006998
{txt}{space 8}age3 {c |}{col 14}{res}{space 2} .0001077{col 26}{space 2} .0000666{col 37}{space 1}    1.62{col 46}{space 3}0.106{col 54}{space 4}-.0000228{col 67}{space 3} .0002382
{txt}{space 3}1.legis11 {c |}{col 14}{res}{space 2}-1.488226{col 26}{space 2} .5628912{col 37}{space 1}   -2.64{col 46}{space 3}0.008{col 54}{space 4}-2.591473{col 67}{space 3}-.3849798
{txt}{space 4}personal {c |}{col 14}{res}{space 2} .3366843{col 26}{space 2} .4111216{col 37}{space 1}    0.82{col 46}{space 3}0.413{col 54}{space 4}-.4690991{col 67}{space 3} 1.142468
{txt}{space 8}enph {c |}{col 14}{res}{space 2} .5557355{col 26}{space 2}  .208962{col 37}{space 1}    2.66{col 46}{space 3}0.008{col 54}{space 4} .1461775{col 67}{space 3} .9652936
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-1.608978{col 26}{space 2} .8493357{col 37}{space 1}   -1.89{col 46}{space 3}0.058{col 54}{space 4}-3.273646{col 67}{space 3} .0556892
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.        estimates store A43
{txt}
{com}. 
. * A4.4 Transitions to democracy and dictatorship, all dictatorships, all controls
. mlogit end2_sv $controls $fordicts c.enph                                       if a_1 == 1

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-221.48905}  
Iteration 1:{space 2}Log likelihood = {res:-189.08272}  
Iteration 2:{space 2}Log likelihood = {res:-169.82927}  
Iteration 3:{space 2}Log likelihood = {res:-165.74857}  
Iteration 4:{space 2}Log likelihood = {res:-163.91577}  
Iteration 5:{space 2}Log likelihood = {res:-162.11226}  
Iteration 6:{space 2}Log likelihood = {res:-158.55238}  
Iteration 7:{space 2}Log likelihood = {res: -157.2319}  
Iteration 8:{space 2}Log likelihood = {res:-156.96479}  
Iteration 9:{space 2}Log likelihood = {res:-156.91002}  
Iteration 10:{space 1}Log likelihood = {res:-156.89858}  
Iteration 11:{space 1}Log likelihood = {res:-156.89603}  
Iteration 12:{space 1}Log likelihood = {res:-156.89541}  
Iteration 13:{space 1}Log likelihood = {res:-156.89528}  
Iteration 14:{space 1}Log likelihood = {res:-156.89525}  
Iteration 15:{space 1}Log likelihood = {res:-156.89525}  
{res}
{txt}{col 1}Multinomial logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:561}
{txt}{col 57}{lalign 13:LR chi2({res:51})}{col 70} = {res}{ralign 6:129.19}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-156.89525}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.2916}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     end2_sv{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}0           {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}D__A         {txt}{c |}
{space 8}frag {c |}{col 14}{res}{space 2}-2355.053{col 26}{space 2} 210652.7{col 37}{space 1}   -0.01{col 46}{space 3}0.991{col 54}{space 4}-415226.8{col 67}{space 3} 410516.7
{txt}{space 6}unrest {c |}{col 14}{res}{space 2} 11.74969{col 26}{space 2} 1081.981{col 37}{space 1}    0.01{col 46}{space 3}0.991{col 54}{space 4}-2108.895{col 67}{space 3} 2132.394
{txt}{space 6}region {c |}{col 14}{res}{space 2} -49.1768{col 26}{space 2} 31912.64{col 37}{space 1}   -0.00{col 46}{space 3}0.999{col 54}{space 4}-62596.81{col 67}{space 3} 62498.46
{txt}{space 2}e_miinterc {c |}{col 14}{res}{space 2} 49.44978{col 26}{space 2} 6663.682{col 37}{space 1}    0.01{col 46}{space 3}0.994{col 54}{space 4}-13011.13{col 67}{space 3} 13110.03
{txt}{space 2}e_miinteco {c |}{col 14}{res}{space 2}-61.25133{col 26}{space 2} 775602.9{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4} -1520215{col 67}{space 3}  1520093
{txt}{space 8}pgdp {c |}{col 14}{res}{space 2}-18.30065{col 26}{space 2}  1789.97{col 37}{space 1}   -0.01{col 46}{space 3}0.992{col 54}{space 4}-3526.576{col 67}{space 3} 3489.975
{txt}{space 7}gpgdp {c |}{col 14}{res}{space 2} -1622.71{col 26}{space 2} 140874.1{col 37}{space 1}   -0.01{col 46}{space 3}0.991{col 54}{space 4}-277730.9{col 67}{space 3} 274485.4
{txt}{space 6}oilmin {c |}{col 14}{res}{space 2}-219.2515{col 26}{space 2}   116903{col 37}{space 1}   -0.00{col 46}{space 3}0.999{col 54}{space 4}-229344.9{col 67}{space 3} 228906.4
{txt}{space 8}popm {c |}{col 14}{res}{space 2}   5.7013{col 26}{space 2} 472.6417{col 37}{space 1}    0.01{col 46}{space 3}0.990{col 54}{space 4}-920.6593{col 67}{space 3} 932.0619
{txt}{space 3}al_ethnic {c |}{col 14}{res}{space 2}-718.1266{col 26}{space 2} 63812.25{col 37}{space 1}   -0.01{col 46}{space 3}0.991{col 54}{space 4}-125787.8{col 67}{space 3} 124351.6
{txt}{space 1}al_religion {c |}{col 14}{res}{space 2} -1007.11{col 26}{space 2} 92605.66{col 37}{space 1}   -0.01{col 46}{space 3}0.991{col 54}{space 4}-182510.9{col 67}{space 3} 180496.7
{txt}{space 9}age {c |}{col 14}{res}{space 2}  20.0166{col 26}{space 2} 3884.162{col 37}{space 1}    0.01{col 46}{space 3}0.996{col 54}{space 4}-7592.801{col 67}{space 3} 7632.835
{txt}{space 8}age2 {c |}{col 14}{res}{space 2}-1.581174{col 26}{space 2} 215.6234{col 37}{space 1}   -0.01{col 46}{space 3}0.994{col 54}{space 4}-424.1952{col 67}{space 3} 421.0328
{txt}{space 8}age3 {c |}{col 14}{res}{space 2} .0330434{col 26}{space 2} 3.457355{col 37}{space 1}    0.01{col 46}{space 3}0.992{col 54}{space 4}-6.743247{col 67}{space 3} 6.809334
{txt}{space 3}1.legis11 {c |}{col 14}{res}{space 2}  191.671{col 26}{space 2} 20036.11{col 37}{space 1}    0.01{col 46}{space 3}0.992{col 54}{space 4}-39078.39{col 67}{space 3} 39461.73
{txt}{space 4}personal {c |}{col 14}{res}{space 2} 48.78062{col 26}{space 2}   5724.8{col 37}{space 1}    0.01{col 46}{space 3}0.993{col 54}{space 4}-11171.62{col 67}{space 3} 11269.18
{txt}{space 8}enph {c |}{col 14}{res}{space 2}-90.23486{col 26}{space 2}  10578.4{col 37}{space 1}   -0.01{col 46}{space 3}0.993{col 54}{space 4}-20823.51{col 67}{space 3} 20643.04
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 145.7228{col 26}{space 2} 28984.54{col 37}{space 1}    0.01{col 46}{space 3}0.996{col 54}{space 4}-56662.92{col 67}{space 3} 56954.37
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}A__A         {txt}{c |}
{space 8}frag {c |}{col 14}{res}{space 2}-24.83302{col 26}{space 2} 139878.7{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-274182.1{col 67}{space 3} 274132.4
{txt}{space 6}unrest {c |}{col 14}{res}{space 2} .1134865{col 26}{space 2} .0707269{col 37}{space 1}    1.60{col 46}{space 3}0.109{col 54}{space 4}-.0251357{col 67}{space 3} .2521087
{txt}{space 6}region {c |}{col 14}{res}{space 2} 1.374722{col 26}{space 2} 2.035999{col 37}{space 1}    0.68{col 46}{space 3}0.500{col 54}{space 4}-2.615762{col 67}{space 3} 5.365206
{txt}{space 2}e_miinterc {c |}{col 14}{res}{space 2} .8634518{col 26}{space 2} .4769576{col 37}{space 1}    1.81{col 46}{space 3}0.070{col 54}{space 4}-.0713679{col 67}{space 3} 1.798272
{txt}{space 2}e_miinteco {c |}{col 14}{res}{space 2}-25.51396{col 26}{space 2} 527002.5{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4} -1032931{col 67}{space 3}  1032880
{txt}{space 8}pgdp {c |}{col 14}{res}{space 2}-.0024102{col 26}{space 2} .1918388{col 37}{space 1}   -0.01{col 46}{space 3}0.990{col 54}{space 4}-.3784074{col 67}{space 3}  .373587
{txt}{space 7}gpgdp {c |}{col 14}{res}{space 2}-3.984217{col 26}{space 2}  4.19866{col 37}{space 1}   -0.95{col 46}{space 3}0.343{col 54}{space 4}-12.21344{col 67}{space 3} 4.245005
{txt}{space 6}oilmin {c |}{col 14}{res}{space 2}-.3770359{col 26}{space 2}   .67747{col 37}{space 1}   -0.56{col 46}{space 3}0.578{col 54}{space 4}-1.704853{col 67}{space 3} .9507809
{txt}{space 8}popm {c |}{col 14}{res}{space 2}-.0875102{col 26}{space 2} .0589418{col 37}{space 1}   -1.48{col 46}{space 3}0.138{col 54}{space 4} -.203034{col 67}{space 3} .0280136
{txt}{space 3}al_ethnic {c |}{col 14}{res}{space 2} 1.786015{col 26}{space 2} 1.274877{col 37}{space 1}    1.40{col 46}{space 3}0.161{col 54}{space 4}-.7126979{col 67}{space 3} 4.284727
{txt}{space 1}al_religion {c |}{col 14}{res}{space 2}-3.377366{col 26}{space 2} 2.242071{col 37}{space 1}   -1.51{col 46}{space 3}0.132{col 54}{space 4}-7.771745{col 67}{space 3} 1.017013
{txt}{space 9}age {c |}{col 14}{res}{space 2} .3255294{col 26}{space 2} .1599149{col 37}{space 1}    2.04{col 46}{space 3}0.042{col 54}{space 4}  .012102{col 67}{space 3} .6389569
{txt}{space 8}age2 {c |}{col 14}{res}{space 2}-.0199721{col 26}{space 2} .0104917{col 37}{space 1}   -1.90{col 46}{space 3}0.057{col 54}{space 4}-.0405355{col 67}{space 3} .0005912
{txt}{space 8}age3 {c |}{col 14}{res}{space 2} .0002853{col 26}{space 2} .0001794{col 37}{space 1}    1.59{col 46}{space 3}0.112{col 54}{space 4}-.0000664{col 67}{space 3}  .000637
{txt}{space 3}1.legis11 {c |}{col 14}{res}{space 2}  .342974{col 26}{space 2} .9269038{col 37}{space 1}    0.37{col 46}{space 3}0.711{col 54}{space 4}-1.473724{col 67}{space 3} 2.159672
{txt}{space 4}personal {c |}{col 14}{res}{space 2} .4523227{col 26}{space 2} .5391049{col 37}{space 1}    0.84{col 46}{space 3}0.401{col 54}{space 4}-.6043035{col 67}{space 3} 1.508949
{txt}{space 8}enph {c |}{col 14}{res}{space 2}-.3506146{col 26}{space 2} .4950082{col 37}{space 1}   -0.71{col 46}{space 3}0.479{col 54}{space 4}-1.320813{col 67}{space 3} .6195837
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-3.553352{col 26}{space 2} 1.306795{col 37}{space 1}   -2.72{col 46}{space 3}0.007{col 54}{space 4}-6.114624{col 67}{space 3}-.9920802
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}A__D         {txt}{c |}
{space 8}frag {c |}{col 14}{res}{space 2}-.3445533{col 26}{space 2} .9745158{col 37}{space 1}   -0.35{col 46}{space 3}0.724{col 54}{space 4}-2.254569{col 67}{space 3} 1.565462
{txt}{space 6}unrest {c |}{col 14}{res}{space 2} -.089549{col 26}{space 2} .1144387{col 37}{space 1}   -0.78{col 46}{space 3}0.434{col 54}{space 4}-.3138447{col 67}{space 3} .1347467
{txt}{space 6}region {c |}{col 14}{res}{space 2}  5.21027{col 26}{space 2} 2.090725{col 37}{space 1}    2.49{col 46}{space 3}0.013{col 54}{space 4} 1.112526{col 67}{space 3} 9.308015
{txt}{space 2}e_miinterc {c |}{col 14}{res}{space 2} .3025657{col 26}{space 2}   .61405{col 37}{space 1}    0.49{col 46}{space 3}0.622{col 54}{space 4}-.9009501{col 67}{space 3} 1.506082
{txt}{space 2}e_miinteco {c |}{col 14}{res}{space 2} .9816437{col 26}{space 2} 1.066286{col 37}{space 1}    0.92{col 46}{space 3}0.357{col 54}{space 4}-1.108238{col 67}{space 3} 3.071526
{txt}{space 8}pgdp {c |}{col 14}{res}{space 2} .2066471{col 26}{space 2} .1562895{col 37}{space 1}    1.32{col 46}{space 3}0.186{col 54}{space 4}-.0996746{col 67}{space 3} .5129689
{txt}{space 7}gpgdp {c |}{col 14}{res}{space 2}-9.152197{col 26}{space 2} 5.673144{col 37}{space 1}   -1.61{col 46}{space 3}0.107{col 54}{space 4}-20.27136{col 67}{space 3} 1.966962
{txt}{space 6}oilmin {c |}{col 14}{res}{space 2} .0040854{col 26}{space 2} .7238066{col 37}{space 1}    0.01{col 46}{space 3}0.995{col 54}{space 4} -1.41455{col 67}{space 3}  1.42272
{txt}{space 8}popm {c |}{col 14}{res}{space 2} .0126896{col 26}{space 2} .0245984{col 37}{space 1}    0.52{col 46}{space 3}0.606{col 54}{space 4}-.0355224{col 67}{space 3} .0609015
{txt}{space 3}al_ethnic {c |}{col 14}{res}{space 2}-.9682182{col 26}{space 2} 1.453997{col 37}{space 1}   -0.67{col 46}{space 3}0.505{col 54}{space 4}-3.818001{col 67}{space 3} 1.881564
{txt}{space 1}al_religion {c |}{col 14}{res}{space 2}-12.22365{col 26}{space 2} 3.509348{col 37}{space 1}   -3.48{col 46}{space 3}0.000{col 54}{space 4}-19.10184{col 67}{space 3}-5.345454
{txt}{space 9}age {c |}{col 14}{res}{space 2} .4342659{col 26}{space 2} .1775025{col 37}{space 1}    2.45{col 46}{space 3}0.014{col 54}{space 4} .0863675{col 67}{space 3} .7821643
{txt}{space 8}age2 {c |}{col 14}{res}{space 2} -.021798{col 26}{space 2} .0102585{col 37}{space 1}   -2.12{col 46}{space 3}0.034{col 54}{space 4}-.0419043{col 67}{space 3}-.0016916
{txt}{space 8}age3 {c |}{col 14}{res}{space 2} .0002248{col 26}{space 2} .0001416{col 37}{space 1}    1.59{col 46}{space 3}0.112{col 54}{space 4}-.0000527{col 67}{space 3} .0005023
{txt}{space 3}1.legis11 {c |}{col 14}{res}{space 2}-2.704807{col 26}{space 2} .9999763{col 37}{space 1}   -2.70{col 46}{space 3}0.007{col 54}{space 4}-4.664725{col 67}{space 3}-.7448896
{txt}{space 4}personal {c |}{col 14}{res}{space 2}-.9197814{col 26}{space 2} .9129467{col 37}{space 1}   -1.01{col 46}{space 3}0.314{col 54}{space 4}-2.709124{col 67}{space 3} .8695613
{txt}{space 8}enph {c |}{col 14}{res}{space 2} 1.134019{col 26}{space 2}  .326655{col 37}{space 1}    3.47{col 46}{space 3}0.001{col 54}{space 4} .4937872{col 67}{space 3} 1.774251
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-2.788872{col 26}{space 2} 1.497191{col 37}{space 1}   -1.86{col 46}{space 3}0.062{col 54}{space 4}-5.723312{col 67}{space 3} .1455686
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         estimates store A44
{txt}
{com}. 
. ** Table A4
. esttab A41 A42 A43 A44 using "TableA4.rtf", cell(b(star fmt (%9.2f)) se(par)) mtitles(Dictats Dictats Dictats Dictats Democracies) ///
>        uns drop(: 0.legis11 0: D__A:)         ///
>        stats(N ll, fmt(%9.0g %9.3f) labels("N" "Log-L"))starlevels(* 0.05 ** 0.01) ///
>            o(enph 1.legis11 personal $controls ) ///
>            legend label varlabels(_cons Constant) title("Table A5. Regime Termination (Svolik)") mtitles replace
{res}{txt}{p 0 4 2}
(file {bf}
TableA4.rtf{rm}
not found)
{p_end}
{res}{txt}(output written to {browse  `"TableA4.rtf"'})

{com}. 
.            
. ** Table A5: Controlling for lagged levels of democracy
. eststo clear
{txt}
{com}. replace age  = age_gwf
{txt}(522 real changes made)

{com}. replace age2 = age2_gwf
{txt}(522 real changes made)

{com}. replace age3 = age3_gwf
{txt}(522 real changes made)

{com}. 
. * Autocratic breakdown
. logit end1_gwf  $controls $fordicts avgDem5 c.enph                      if a_1 == 1

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-180.23196}  
Iteration 1:{space 2}Log likelihood = {res:-158.35846}  
Iteration 2:{space 2}Log likelihood = {res:-150.65999}  
Iteration 3:{space 2}Log likelihood = {res:-150.32065}  
Iteration 4:{space 2}Log likelihood = {res:-150.31952}  
Iteration 5:{space 2}Log likelihood = {res:-150.31952}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:524}
{txt}{col 57}{lalign 13:LR chi2({res:18})}{col 70} = {res}{ralign 6:59.82}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-150.31952}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.1660}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    end1_gwf{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}frag {c |}{col 14}{res}{space 2}-.4745129{col 26}{space 2} .6201345{col 37}{space 1}   -0.77{col 46}{space 3}0.444{col 54}{space 4}-1.689954{col 67}{space 3} .7409284
{txt}{space 6}unrest {c |}{col 14}{res}{space 2} .1028985{col 26}{space 2} .0439151{col 37}{space 1}    2.34{col 46}{space 3}0.019{col 54}{space 4} .0168265{col 67}{space 3} .1889705
{txt}{space 6}region {c |}{col 14}{res}{space 2} 1.880653{col 26}{space 2} 1.249557{col 37}{space 1}    1.51{col 46}{space 3}0.132{col 54}{space 4}-.5684332{col 67}{space 3}  4.32974
{txt}{space 2}e_miinterc {c |}{col 14}{res}{space 2} .6297643{col 26}{space 2} .3606312{col 37}{space 1}    1.75{col 46}{space 3}0.081{col 54}{space 4}-.0770599{col 67}{space 3} 1.336589
{txt}{space 2}e_miinteco {c |}{col 14}{res}{space 2} .6690757{col 26}{space 2} .8452404{col 37}{space 1}    0.79{col 46}{space 3}0.429{col 54}{space 4}-.9875651{col 67}{space 3} 2.325717
{txt}{space 8}pgdp {c |}{col 14}{res}{space 2}-.2291641{col 26}{space 2} .1286761{col 37}{space 1}   -1.78{col 46}{space 3}0.075{col 54}{space 4}-.4813647{col 67}{space 3} .0230365
{txt}{space 7}gpgdp {c |}{col 14}{res}{space 2}-7.055737{col 26}{space 2} 3.099687{col 37}{space 1}   -2.28{col 46}{space 3}0.023{col 54}{space 4}-13.13101{col 67}{space 3}-.9804623
{txt}{space 6}oilmin {c |}{col 14}{res}{space 2} .0969821{col 26}{space 2} .4813018{col 37}{space 1}    0.20{col 46}{space 3}0.840{col 54}{space 4}-.8463521{col 67}{space 3} 1.040316
{txt}{space 8}popm {c |}{col 14}{res}{space 2} .0055908{col 26}{space 2} .0126394{col 37}{space 1}    0.44{col 46}{space 3}0.658{col 54}{space 4}-.0191821{col 67}{space 3} .0303636
{txt}{space 3}al_ethnic {c |}{col 14}{res}{space 2} -.371208{col 26}{space 2} .9649135{col 37}{space 1}   -0.38{col 46}{space 3}0.700{col 54}{space 4}-2.262404{col 67}{space 3} 1.519988
{txt}{space 1}al_religion {c |}{col 14}{res}{space 2}-4.433835{col 26}{space 2} 1.756043{col 37}{space 1}   -2.52{col 46}{space 3}0.012{col 54}{space 4}-7.875616{col 67}{space 3}-.9920538
{txt}{space 9}age {c |}{col 14}{res}{space 2}  .066975{col 26}{space 2} .0997718{col 37}{space 1}    0.67{col 46}{space 3}0.502{col 54}{space 4}-.1285741{col 67}{space 3} .2625241
{txt}{space 8}age2 {c |}{col 14}{res}{space 2}-.0047781{col 26}{space 2} .0050622{col 37}{space 1}   -0.94{col 46}{space 3}0.345{col 54}{space 4}-.0146998{col 67}{space 3} .0051437
{txt}{space 8}age3 {c |}{col 14}{res}{space 2} .0000557{col 26}{space 2} .0000685{col 37}{space 1}    0.81{col 46}{space 3}0.416{col 54}{space 4}-.0000786{col 67}{space 3} .0001901
{txt}{space 3}1.legis11 {c |}{col 14}{res}{space 2} -1.60348{col 26}{space 2} .6228075{col 37}{space 1}   -2.57{col 46}{space 3}0.010{col 54}{space 4}-2.824161{col 67}{space 3}-.3828002
{txt}{space 4}personal {c |}{col 14}{res}{space 2} .5235161{col 26}{space 2} .4866861{col 37}{space 1}    1.08{col 46}{space 3}0.282{col 54}{space 4}-.4303712{col 67}{space 3} 1.477403
{txt}{space 5}avgDem5 {c |}{col 14}{res}{space 2}-.3582145{col 26}{space 2} 2.065906{col 37}{space 1}   -0.17{col 46}{space 3}0.862{col 54}{space 4}-4.407315{col 67}{space 3} 3.690886
{txt}{space 8}enph {c |}{col 14}{res}{space 2} .7064302{col 26}{space 2} .2057547{col 37}{space 1}    3.43{col 46}{space 3}0.001{col 54}{space 4} .3031584{col 67}{space 3} 1.109702
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-1.031981{col 26}{space 2} 1.150547{col 37}{space 1}   -0.90{col 46}{space 3}0.370{col 54}{space 4}-3.287011{col 67}{space 3} 1.223049
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         estimates store A51
{txt}
{com}. * Type of breakdown
. mlogit end2_gwf $controls $fordicts avgDem5 c.enph                                              if a_1 == 1

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-231.21583}  
Iteration 1:{space 2}Log likelihood = {res:-196.36283}  
Iteration 2:{space 2}Log likelihood = {res:-177.18317}  
Iteration 3:{space 2}Log likelihood = {res: -171.3323}  
Iteration 4:{space 2}Log likelihood = {res: -169.1902}  
Iteration 5:{space 2}Log likelihood = {res:-167.62288}  
Iteration 6:{space 2}Log likelihood = {res:-166.69793}  
Iteration 7:{space 2}Log likelihood = {res:-163.38399}  
Iteration 8:{space 2}Log likelihood = {res:-163.15219}  
Iteration 9:{space 2}Log likelihood = {res:-163.12968}  
Iteration 10:{space 1}Log likelihood = {res:-163.12593}  
Iteration 11:{space 1}Log likelihood = {res:-163.12524}  
Iteration 12:{space 1}Log likelihood = {res:-163.12517}  
Iteration 13:{space 1}Log likelihood = {res:-163.12516}  
{res}
{txt}{col 1}Multinomial logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:524}
{txt}{col 57}{lalign 13:LR chi2({res:54})}{col 70} = {res}{ralign 6:136.18}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-163.12516}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.2945}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    end2_gwf{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}0           {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}D__A         {txt}{c |}
{space 8}frag {c |}{col 14}{res}{space 2}-410.8377{col 26}{space 2} 55380.52{col 37}{space 1}   -0.01{col 46}{space 3}0.994{col 54}{space 4}-108954.7{col 67}{space 3}   108133
{txt}{space 6}unrest {c |}{col 14}{res}{space 2}-2.570088{col 26}{space 2} 619.5186{col 37}{space 1}   -0.00{col 46}{space 3}0.997{col 54}{space 4}-1216.804{col 67}{space 3} 1211.664
{txt}{space 6}region {c |}{col 14}{res}{space 2} 132.0974{col 26}{space 2} 25385.94{col 37}{space 1}    0.01{col 46}{space 3}0.996{col 54}{space 4}-49623.43{col 67}{space 3} 49887.62
{txt}{space 2}e_miinterc {c |}{col 14}{res}{space 2}-95.97614{col 26}{space 2} 25465.15{col 37}{space 1}   -0.00{col 46}{space 3}0.997{col 54}{space 4}-50006.76{col 67}{space 3} 49814.81
{txt}{space 2}e_miinteco {c |}{col 14}{res}{space 2} 11.47132{col 26}{space 2} 9516.557{col 37}{space 1}    0.00{col 46}{space 3}0.999{col 54}{space 4}-18640.64{col 67}{space 3} 18663.58
{txt}{space 8}pgdp {c |}{col 14}{res}{space 2}-114.1599{col 26}{space 2} 14214.85{col 37}{space 1}   -0.01{col 46}{space 3}0.994{col 54}{space 4}-27974.76{col 67}{space 3} 27746.44
{txt}{space 7}gpgdp {c |}{col 14}{res}{space 2}  -959.75{col 26}{space 2} 203292.8{col 37}{space 1}   -0.00{col 46}{space 3}0.996{col 54}{space 4}-399406.3{col 67}{space 3} 397486.8
{txt}{space 6}oilmin {c |}{col 14}{res}{space 2}-47.67375{col 26}{space 2} 20502.79{col 37}{space 1}   -0.00{col 46}{space 3}0.998{col 54}{space 4} -40232.4{col 67}{space 3} 40137.06
{txt}{space 8}popm {c |}{col 14}{res}{space 2}-17.39914{col 26}{space 2} 983.4236{col 37}{space 1}   -0.02{col 46}{space 3}0.986{col 54}{space 4}-1944.874{col 67}{space 3} 1910.076
{txt}{space 3}al_ethnic {c |}{col 14}{res}{space 2} 272.2965{col 26}{space 2} 57504.03{col 37}{space 1}    0.00{col 46}{space 3}0.996{col 54}{space 4}-112433.5{col 67}{space 3} 112978.1
{txt}{space 1}al_religion {c |}{col 14}{res}{space 2} 388.0009{col 26}{space 2} 47889.68{col 37}{space 1}    0.01{col 46}{space 3}0.994{col 54}{space 4}-93474.04{col 67}{space 3} 94250.04
{txt}{space 9}age {c |}{col 14}{res}{space 2}-.1930563{col 26}{space 2} 3776.707{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-7402.404{col 67}{space 3} 7402.018
{txt}{space 8}age2 {c |}{col 14}{res}{space 2}-.0778889{col 26}{space 2} 274.2451{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-537.5885{col 67}{space 3} 537.4327
{txt}{space 8}age3 {c |}{col 14}{res}{space 2}  .000165{col 26}{space 2} 4.458523{col 37}{space 1}    0.00{col 46}{space 3}1.000{col 54}{space 4}-8.738379{col 67}{space 3} 8.738709
{txt}{space 3}1.legis11 {c |}{col 14}{res}{space 2}-21.85368{col 26}{space 2} 9466.788{col 37}{space 1}   -0.00{col 46}{space 3}0.998{col 54}{space 4}-18576.42{col 67}{space 3} 18532.71
{txt}{space 4}personal {c |}{col 14}{res}{space 2}-148.2213{col 26}{space 2} 30496.37{col 37}{space 1}   -0.00{col 46}{space 3}0.996{col 54}{space 4}-59920.01{col 67}{space 3} 59623.57
{txt}{space 5}avgDem5 {c |}{col 14}{res}{space 2}-134.1206{col 26}{space 2} 121431.1{col 37}{space 1}   -0.00{col 46}{space 3}0.999{col 54}{space 4}-238134.7{col 67}{space 3} 237866.4
{txt}{space 8}enph {c |}{col 14}{res}{space 2} 62.12189{col 26}{space 2}   5818.2{col 37}{space 1}    0.01{col 46}{space 3}0.991{col 54}{space 4}-11341.34{col 67}{space 3} 11465.58
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-137.8811{col 26}{space 2} 46788.32{col 37}{space 1}   -0.00{col 46}{space 3}0.998{col 54}{space 4}-91841.31{col 67}{space 3} 91565.55
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}A__A         {txt}{c |}
{space 8}frag {c |}{col 14}{res}{space 2} .7202515{col 26}{space 2} .8215969{col 37}{space 1}    0.88{col 46}{space 3}0.381{col 54}{space 4}-.8900488{col 67}{space 3} 2.330552
{txt}{space 6}unrest {c |}{col 14}{res}{space 2} .1846354{col 26}{space 2} .0625139{col 37}{space 1}    2.95{col 46}{space 3}0.003{col 54}{space 4} .0621105{col 67}{space 3} .3071603
{txt}{space 6}region {c |}{col 14}{res}{space 2}-.0635719{col 26}{space 2} 1.827328{col 37}{space 1}   -0.03{col 46}{space 3}0.972{col 54}{space 4} -3.64507{col 67}{space 3} 3.517926
{txt}{space 2}e_miinterc {c |}{col 14}{res}{space 2} 1.395067{col 26}{space 2} .5138433{col 37}{space 1}    2.71{col 46}{space 3}0.007{col 54}{space 4}  .387953{col 67}{space 3} 2.402182
{txt}{space 2}e_miinteco {c |}{col 14}{res}{space 2} .6375139{col 26}{space 2} 1.292968{col 37}{space 1}    0.49{col 46}{space 3}0.622{col 54}{space 4}-1.896657{col 67}{space 3} 3.171685
{txt}{space 8}pgdp {c |}{col 14}{res}{space 2}-.3926416{col 26}{space 2} .2573397{col 37}{space 1}   -1.53{col 46}{space 3}0.127{col 54}{space 4}-.8970181{col 67}{space 3}  .111735
{txt}{space 7}gpgdp {c |}{col 14}{res}{space 2}-7.789303{col 26}{space 2} 4.059854{col 37}{space 1}   -1.92{col 46}{space 3}0.055{col 54}{space 4}-15.74647{col 67}{space 3} .1678656
{txt}{space 6}oilmin {c |}{col 14}{res}{space 2}-.0825548{col 26}{space 2} .6746806{col 37}{space 1}   -0.12{col 46}{space 3}0.903{col 54}{space 4}-1.404904{col 67}{space 3} 1.239795
{txt}{space 8}popm {c |}{col 14}{res}{space 2}-.0914948{col 26}{space 2} .0581727{col 37}{space 1}   -1.57{col 46}{space 3}0.116{col 54}{space 4}-.2055112{col 67}{space 3} .0225215
{txt}{space 3}al_ethnic {c |}{col 14}{res}{space 2} .0015426{col 26}{space 2} 1.438364{col 37}{space 1}    0.00{col 46}{space 3}0.999{col 54}{space 4}-2.817599{col 67}{space 3} 2.820684
{txt}{space 1}al_religion {c |}{col 14}{res}{space 2}-4.650123{col 26}{space 2} 2.692468{col 37}{space 1}   -1.73{col 46}{space 3}0.084{col 54}{space 4}-9.927264{col 67}{space 3} .6270179
{txt}{space 9}age {c |}{col 14}{res}{space 2} .1489465{col 26}{space 2} .1517454{col 37}{space 1}    0.98{col 46}{space 3}0.326{col 54}{space 4}-.1484691{col 67}{space 3} .4463621
{txt}{space 8}age2 {c |}{col 14}{res}{space 2}-.0115238{col 26}{space 2} .0084701{col 37}{space 1}   -1.36{col 46}{space 3}0.174{col 54}{space 4}-.0281249{col 67}{space 3} .0050772
{txt}{space 8}age3 {c |}{col 14}{res}{space 2} .0001839{col 26}{space 2} .0001287{col 37}{space 1}    1.43{col 46}{space 3}0.153{col 54}{space 4}-.0000683{col 67}{space 3} .0004361
{txt}{space 3}1.legis11 {c |}{col 14}{res}{space 2}-1.240495{col 26}{space 2} .8777438{col 37}{space 1}   -1.41{col 46}{space 3}0.158{col 54}{space 4}-2.960841{col 67}{space 3} .4798516
{txt}{space 4}personal {c |}{col 14}{res}{space 2} .8719075{col 26}{space 2} .6622673{col 37}{space 1}    1.32{col 46}{space 3}0.188{col 54}{space 4}-.4261126{col 67}{space 3} 2.169928
{txt}{space 5}avgDem5 {c |}{col 14}{res}{space 2} 1.735605{col 26}{space 2}  2.94638{col 37}{space 1}    0.59{col 46}{space 3}0.556{col 54}{space 4}-4.039193{col 67}{space 3} 7.510403
{txt}{space 8}enph {c |}{col 14}{res}{space 2} .2609307{col 26}{space 2} .3038816{col 37}{space 1}    0.86{col 46}{space 3}0.391{col 54}{space 4}-.3346663{col 67}{space 3} .8565277
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-1.233801{col 26}{space 2} 1.594774{col 37}{space 1}   -0.77{col 46}{space 3}0.439{col 54}{space 4}  -4.3595{col 67}{space 3} 1.891899
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}A__D         {txt}{c |}
{space 8}frag {c |}{col 14}{res}{space 2}-1.037962{col 26}{space 2} 1.070989{col 37}{space 1}   -0.97{col 46}{space 3}0.332{col 54}{space 4}-3.137061{col 67}{space 3} 1.061137
{txt}{space 6}unrest {c |}{col 14}{res}{space 2}  .035213{col 26}{space 2} .0677448{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.0975643{col 67}{space 3} .1679903
{txt}{space 6}region {c |}{col 14}{res}{space 2} 5.091324{col 26}{space 2}  1.91776{col 37}{space 1}    2.65{col 46}{space 3}0.008{col 54}{space 4} 1.332583{col 67}{space 3} 8.850065
{txt}{space 2}e_miinterc {c |}{col 14}{res}{space 2}-.1235409{col 26}{space 2} .6120669{col 37}{space 1}   -0.20{col 46}{space 3}0.840{col 54}{space 4} -1.32317{col 67}{space 3} 1.076088
{txt}{space 2}e_miinteco {c |}{col 14}{res}{space 2} .8032428{col 26}{space 2} 1.089953{col 37}{space 1}    0.74{col 46}{space 3}0.461{col 54}{space 4}-1.333027{col 67}{space 3} 2.939512
{txt}{space 8}pgdp {c |}{col 14}{res}{space 2}-.0658258{col 26}{space 2} .1573367{col 37}{space 1}   -0.42{col 46}{space 3}0.676{col 54}{space 4}   -.3742{col 67}{space 3} .2425485
{txt}{space 7}gpgdp {c |}{col 14}{res}{space 2} 1.029277{col 26}{space 2} 5.405974{col 37}{space 1}    0.19{col 46}{space 3}0.849{col 54}{space 4}-9.566236{col 67}{space 3} 11.62479
{txt}{space 6}oilmin {c |}{col 14}{res}{space 2}-.0755104{col 26}{space 2} .6820819{col 37}{space 1}   -0.11{col 46}{space 3}0.912{col 54}{space 4}-1.412366{col 67}{space 3} 1.261346
{txt}{space 8}popm {c |}{col 14}{res}{space 2} .0248355{col 26}{space 2} .0146229{col 37}{space 1}    1.70{col 46}{space 3}0.089{col 54}{space 4}-.0038248{col 67}{space 3} .0534958
{txt}{space 3}al_ethnic {c |}{col 14}{res}{space 2}-.3664372{col 26}{space 2} 1.462525{col 37}{space 1}   -0.25{col 46}{space 3}0.802{col 54}{space 4}-3.232934{col 67}{space 3} 2.500059
{txt}{space 1}al_religion {c |}{col 14}{res}{space 2}-9.130713{col 26}{space 2} 2.945151{col 37}{space 1}   -3.10{col 46}{space 3}0.002{col 54}{space 4} -14.9031{col 67}{space 3}-3.358324
{txt}{space 9}age {c |}{col 14}{res}{space 2}  .285634{col 26}{space 2} .1684997{col 37}{space 1}    1.70{col 46}{space 3}0.090{col 54}{space 4}-.0446194{col 67}{space 3} .6158874
{txt}{space 8}age2 {c |}{col 14}{res}{space 2}-.0137055{col 26}{space 2} .0092512{col 37}{space 1}   -1.48{col 46}{space 3}0.138{col 54}{space 4}-.0318376{col 67}{space 3} .0044265
{txt}{space 8}age3 {c |}{col 14}{res}{space 2} .0001308{col 26}{space 2} .0001346{col 37}{space 1}    0.97{col 46}{space 3}0.331{col 54}{space 4} -.000133{col 67}{space 3} .0003945
{txt}{space 3}1.legis11 {c |}{col 14}{res}{space 2}-2.950135{col 26}{space 2} 1.020437{col 37}{space 1}   -2.89{col 46}{space 3}0.004{col 54}{space 4}-4.950156{col 67}{space 3}-.9501148
{txt}{space 4}personal {c |}{col 14}{res}{space 2} .2498664{col 26}{space 2}  .901517{col 37}{space 1}    0.28{col 46}{space 3}0.782{col 54}{space 4}-1.517074{col 67}{space 3} 2.016807
{txt}{space 5}avgDem5 {c |}{col 14}{res}{space 2}-2.178127{col 26}{space 2} 3.190718{col 37}{space 1}   -0.68{col 46}{space 3}0.495{col 54}{space 4} -8.43182{col 67}{space 3} 4.075567
{txt}{space 8}enph {c |}{col 14}{res}{space 2} 1.251239{col 26}{space 2} .3657687{col 37}{space 1}    3.42{col 46}{space 3}0.001{col 54}{space 4} .5343455{col 67}{space 3} 1.968133
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-2.302841{col 26}{space 2} 1.774897{col 37}{space 1}   -1.30{col 46}{space 3}0.194{col 54}{space 4}-5.781575{col 67}{space 3} 1.175894
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 1 observation completely determined.{txt} Standard errors questionable.{p_end}

{com}.         estimates store A52
{txt}
{com}. 
. * Type of democratization
. logit gwf_topdown  $controls $fordicts avgDem5 c.enph           if a_1 == 1

{txt}note: {bf:e_miinteco} != 0 predicts failure perfectly;
      {bf:e_miinteco} omitted and 6 obs not used.

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-66.621648}  
Iteration 1:{space 2}Log likelihood = {res:-59.823597}  
Iteration 2:{space 2}Log likelihood = {res:-50.104206}  
Iteration 3:{space 2}Log likelihood = {res:-48.864687}  
Iteration 4:{space 2}Log likelihood = {res:-48.742676}  
Iteration 5:{space 2}Log likelihood = {res:-48.726587}  
Iteration 6:{space 2}Log likelihood = {res:-48.696688}  
Iteration 7:{space 2}Log likelihood = {res: -48.66288}  
Iteration 8:{space 2}Log likelihood = {res:-48.662067}  
Iteration 9:{space 2}Log likelihood = {res:-48.662066}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:476}
{txt}{col 57}{lalign 13:LR chi2({res:17})}{col 70} = {res}{ralign 6:35.92}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0047}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-48.662066}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.2696}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} gwf_topdown{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}frag {c |}{col 14}{res}{space 2} .0896099{col 26}{space 2} 1.283553{col 37}{space 1}    0.07{col 46}{space 3}0.944{col 54}{space 4}-2.426108{col 67}{space 3} 2.605328
{txt}{space 6}unrest {c |}{col 14}{res}{space 2}-.0583679{col 26}{space 2} .1125227{col 37}{space 1}   -0.52{col 46}{space 3}0.604{col 54}{space 4}-.2789083{col 67}{space 3} .1621725
{txt}{space 6}region {c |}{col 14}{res}{space 2} 4.869767{col 26}{space 2}  2.60261{col 37}{space 1}    1.87{col 46}{space 3}0.061{col 54}{space 4}-.2312553{col 67}{space 3} 9.970789
{txt}{space 2}e_miinterc {c |}{col 14}{res}{space 2}-1.106865{col 26}{space 2} .9598304{col 37}{space 1}   -1.15{col 46}{space 3}0.249{col 54}{space 4}-2.988098{col 67}{space 3} .7743675
{txt}{space 2}e_miinteco {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 8}pgdp {c |}{col 14}{res}{space 2} .0040451{col 26}{space 2} .2004055{col 37}{space 1}    0.02{col 46}{space 3}0.984{col 54}{space 4}-.3887425{col 67}{space 3} .3968327
{txt}{space 7}gpgdp {c |}{col 14}{res}{space 2} 3.119304{col 26}{space 2} 7.094489{col 37}{space 1}    0.44{col 46}{space 3}0.660{col 54}{space 4}-10.78564{col 67}{space 3} 17.02425
{txt}{space 6}oilmin {c |}{col 14}{res}{space 2}-.6270341{col 26}{space 2} .8978698{col 37}{space 1}   -0.70{col 46}{space 3}0.485{col 54}{space 4}-2.386826{col 67}{space 3} 1.132758
{txt}{space 8}popm {c |}{col 14}{res}{space 2} .0407288{col 26}{space 2} .0180746{col 37}{space 1}    2.25{col 46}{space 3}0.024{col 54}{space 4} .0053033{col 67}{space 3} .0761543
{txt}{space 3}al_ethnic {c |}{col 14}{res}{space 2}-.2300198{col 26}{space 2} 1.878358{col 37}{space 1}   -0.12{col 46}{space 3}0.903{col 54}{space 4}-3.911534{col 67}{space 3} 3.451494
{txt}{space 1}al_religion {c |}{col 14}{res}{space 2}-12.98933{col 26}{space 2} 4.162741{col 37}{space 1}   -3.12{col 46}{space 3}0.002{col 54}{space 4}-21.14815{col 67}{space 3}-4.830507
{txt}{space 9}age {c |}{col 14}{res}{space 2} .6540854{col 26}{space 2}  .542136{col 37}{space 1}    1.21{col 46}{space 3}0.228{col 54}{space 4}-.4084816{col 67}{space 3} 1.716652
{txt}{space 8}age2 {c |}{col 14}{res}{space 2}-.0246491{col 26}{space 2}  .052891{col 37}{space 1}   -0.47{col 46}{space 3}0.641{col 54}{space 4}-.1283135{col 67}{space 3} .0790152
{txt}{space 8}age3 {c |}{col 14}{res}{space 2}-.0000491{col 26}{space 2} .0014976{col 37}{space 1}   -0.03{col 46}{space 3}0.974{col 54}{space 4}-.0029844{col 67}{space 3} .0028862
{txt}{space 3}1.legis11 {c |}{col 14}{res}{space 2}-3.421226{col 26}{space 2} 1.408845{col 37}{space 1}   -2.43{col 46}{space 3}0.015{col 54}{space 4}-6.182512{col 67}{space 3}-.6599395
{txt}{space 4}personal {c |}{col 14}{res}{space 2} 1.431998{col 26}{space 2} 1.175983{col 37}{space 1}    1.22{col 46}{space 3}0.223{col 54}{space 4}-.8728867{col 67}{space 3} 3.736883
{txt}{space 5}avgDem5 {c |}{col 14}{res}{space 2} -2.67823{col 26}{space 2} 4.383305{col 37}{space 1}   -0.61{col 46}{space 3}0.541{col 54}{space 4}-11.26935{col 67}{space 3} 5.912891
{txt}{space 8}enph {c |}{col 14}{res}{space 2} 1.265274{col 26}{space 2} .5564002{col 37}{space 1}    2.27{col 46}{space 3}0.023{col 54}{space 4} .1747491{col 67}{space 3} 2.355798
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-3.160774{col 26}{space 2} 2.897061{col 37}{space 1}   -1.09{col 46}{space 3}0.275{col 54}{space 4}-8.838909{col 67}{space 3} 2.517361
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 42 failures and 0 successes completely determined.{p_end}

{com}.         estimates store A53
{txt}
{com}. 
.            
. esttab A51 A52 A53 using "TableA5.rtf", ///
>     cell(b(star fmt(%9.2f)) se(par)) ///
>     uns drop(: 0.legis11 0: D__A:) ///
>     stats(N ll, fmt(%9.0g %9.3f) labels("N" "Log-L")) starlevels(* 0.05 ** 0.01) ///
>     o(enph 1.legis11 personal $controls) ///
>     legend label varlabels(_cons Constant) ///
>     title("Table A5. Regime Termination (Geddes, Wright & Frantz), Controlling for Lagged Levels of Electoral Democracy") ///
>     mtitles("End of regime" "A-to-A" "A-to-D" "Top-down") ///
>      replace
{res}{txt}{p 0 4 2}
(file {bf}
TableA5.rtf{rm}
not found)
{p_end}
{res}{txt}(output written to {browse  `"TableA5.rtf"'})

{com}.                    
. ** Table A6, A7, A8 - President's share (House) as proxy for concessions
. eststo clear
{txt}
{com}. * GWF
. replace age  = age_gwf
{txt}(0 real changes made)

{com}. replace age2 = age2_gwf
{txt}(0 real changes made)

{com}. replace age3 = age3_gwf
{txt}(0 real changes made)

{com}. logit end1_gwf  $controls $fordicts c.p_h                                       if a_1 == 1

{res}{txt}Iteration 0:{space 2}Log likelihood = {res: -201.1766}  
Iteration 1:{space 2}Log likelihood = {res:-176.29786}  
Iteration 2:{space 2}Log likelihood = {res:-168.95844}  
Iteration 3:{space 2}Log likelihood = {res:-168.68363}  
Iteration 4:{space 2}Log likelihood = {res:-168.68163}  
Iteration 5:{space 2}Log likelihood = {res:-168.68163}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:561}
{txt}{col 57}{lalign 13:LR chi2({res:17})}{col 70} = {res}{ralign 6:64.99}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-168.68163}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.1615}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    end1_gwf{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}frag {c |}{col 14}{res}{space 2} .0882513{col 26}{space 2} .4941058{col 37}{space 1}    0.18{col 46}{space 3}0.858{col 54}{space 4}-.8801783{col 67}{space 3} 1.056681
{txt}{space 6}unrest {c |}{col 14}{res}{space 2} .1009477{col 26}{space 2} .0426261{col 37}{space 1}    2.37{col 46}{space 3}0.018{col 54}{space 4} .0174022{col 67}{space 3} .1844933
{txt}{space 6}region {c |}{col 14}{res}{space 2} 1.529357{col 26}{space 2} 1.162592{col 37}{space 1}    1.32{col 46}{space 3}0.188{col 54}{space 4}-.7492818{col 67}{space 3} 3.807996
{txt}{space 2}e_miinterc {c |}{col 14}{res}{space 2} .6724189{col 26}{space 2} .3373969{col 37}{space 1}    1.99{col 46}{space 3}0.046{col 54}{space 4} .0111331{col 67}{space 3} 1.333705
{txt}{space 2}e_miinteco {c |}{col 14}{res}{space 2} .9821614{col 26}{space 2} .7536512{col 37}{space 1}    1.30{col 46}{space 3}0.193{col 54}{space 4}-.4949679{col 67}{space 3} 2.459291
{txt}{space 8}pgdp {c |}{col 14}{res}{space 2}-.2166577{col 26}{space 2} .1238857{col 37}{space 1}   -1.75{col 46}{space 3}0.080{col 54}{space 4}-.4594692{col 67}{space 3} .0261538
{txt}{space 7}gpgdp {c |}{col 14}{res}{space 2}-5.451756{col 26}{space 2} 3.019985{col 37}{space 1}   -1.81{col 46}{space 3}0.071{col 54}{space 4}-11.37082{col 67}{space 3} .4673055
{txt}{space 6}oilmin {c |}{col 14}{res}{space 2} .0095577{col 26}{space 2} .4513088{col 37}{space 1}    0.02{col 46}{space 3}0.983{col 54}{space 4}-.8749914{col 67}{space 3} .8941067
{txt}{space 8}popm {c |}{col 14}{res}{space 2} .0011546{col 26}{space 2}   .01185{col 37}{space 1}    0.10{col 46}{space 3}0.922{col 54}{space 4}-.0220709{col 67}{space 3} .0243801
{txt}{space 3}al_ethnic {c |}{col 14}{res}{space 2}-.5420914{col 26}{space 2} .8759628{col 37}{space 1}   -0.62{col 46}{space 3}0.536{col 54}{space 4}-2.258947{col 67}{space 3} 1.174764
{txt}{space 1}al_religion {c |}{col 14}{res}{space 2}-4.280782{col 26}{space 2} 1.566303{col 37}{space 1}   -2.73{col 46}{space 3}0.006{col 54}{space 4} -7.35068{col 67}{space 3}-1.210885
{txt}{space 9}age {c |}{col 14}{res}{space 2} .0508038{col 26}{space 2} .0841634{col 37}{space 1}    0.60{col 46}{space 3}0.546{col 54}{space 4}-.1141534{col 67}{space 3} .2157609
{txt}{space 8}age2 {c |}{col 14}{res}{space 2}-.0042473{col 26}{space 2} .0045681{col 37}{space 1}   -0.93{col 46}{space 3}0.352{col 54}{space 4}-.0132007{col 67}{space 3}  .004706
{txt}{space 8}age3 {c |}{col 14}{res}{space 2} .0000498{col 26}{space 2} .0000651{col 37}{space 1}    0.77{col 46}{space 3}0.444{col 54}{space 4}-.0000777{col 67}{space 3} .0001773
{txt}{space 3}1.legis11 {c |}{col 14}{res}{space 2} 26.19604{col 26}{space 2}  8.26013{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} 10.00648{col 67}{space 3} 42.38559
{txt}{space 4}personal {c |}{col 14}{res}{space 2} .4258594{col 26}{space 2}  .391087{col 37}{space 1}    1.09{col 46}{space 3}0.276{col 54}{space 4}-.3406571{col 67}{space 3} 1.192376
{txt}{space 9}p_h {c |}{col 14}{res}{space 2}-2.723645{col 26}{space 2}  .856528{col 37}{space 1}   -3.18{col 46}{space 3}0.001{col 54}{space 4}-4.402409{col 67}{space 3}-1.044881
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-25.36191{col 26}{space 2}  7.56922{col 37}{space 1}   -3.35{col 46}{space 3}0.001{col 54}{space 4}-40.19731{col 67}{space 3}-10.52651
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.        estimates store A61
{txt}
{com}.            
. mlogit end2_gwf $controls $fordicts c.p_h                                                                               if a_1 == 1

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-260.09223}  
Iteration 1:{space 2}Log likelihood = {res:-253.71628}  
Iteration 2:{space 2}Log likelihood = {res:-210.29153}  
Iteration 3:{space 2}Log likelihood = {res:-205.34819}  
Iteration 4:{space 2}Log likelihood = {res:-197.38097}  
Iteration 5:{space 2}Log likelihood = {res:-193.19868}  
Iteration 6:{space 2}Log likelihood = {res:-189.59719}  
Iteration 7:{space 2}Log likelihood = {res: -187.3128}  
Iteration 8:{space 2}Log likelihood = {res:-185.66459}  
Iteration 9:{space 2}Log likelihood = {res:-185.56919}  
Iteration 10:{space 1}Log likelihood = {res:-185.02497}  
Iteration 11:{space 1}Log likelihood = {res:-184.93263}  
Iteration 12:{space 1}Log likelihood = {res: -184.8642}  
Iteration 13:{space 1}Log likelihood = {res:-184.85383}  
Iteration 14:{space 1}Log likelihood = {res:-184.85336}  
Iteration 15:{space 1}Log likelihood = {res:-184.85319}  
Iteration 16:{space 1}Log likelihood = {res:-184.84914}  
Iteration 17:{space 1}Log likelihood = {res:-184.84844}  
Iteration 18:{space 1}Log likelihood = {res:-184.84792}  
Iteration 19:{space 1}Log likelihood = {res:-184.84558}  
Iteration 20:{space 1}Log likelihood = {res: -184.8448}  
Iteration 21:{space 1}Log likelihood = {res:-184.84479}  
{res}
{txt}{col 1}Multinomial logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:561}
{txt}{col 57}{lalign 13:LR chi2({res:51})}{col 70} = {res}{ralign 6:150.49}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-184.84479}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.2893}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    end2_gwf{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}0           {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}D__A         {txt}{c |}
{space 8}frag {c |}{col 14}{res}{space 2}-47.80229{col 26}{space 2}   188.26{col 37}{space 1}   -0.25{col 46}{space 3}0.800{col 54}{space 4} -416.785{col 67}{space 3} 321.1804
{txt}{space 6}unrest {c |}{col 14}{res}{space 2} 2.887343{col 26}{space 2} 16.01334{col 37}{space 1}    0.18{col 46}{space 3}0.857{col 54}{space 4}-28.49824{col 67}{space 3} 34.27292
{txt}{space 6}region {c |}{col 14}{res}{space 2} 84.27946{col 26}{space 2} 782.4722{col 37}{space 1}    0.11{col 46}{space 3}0.914{col 54}{space 4}-1449.338{col 67}{space 3} 1617.897
{txt}{space 2}e_miinterc {c |}{col 14}{res}{space 2}-22.76525{col 26}{space 2} 116.1688{col 37}{space 1}   -0.20{col 46}{space 3}0.845{col 54}{space 4} -250.452{col 67}{space 3} 204.9215
{txt}{space 2}e_miinteco {c |}{col 14}{res}{space 2}-42.00948{col 26}{space 2} 6.03e+08{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-1.18e+09{col 67}{space 3} 1.18e+09
{txt}{space 8}pgdp {c |}{col 14}{res}{space 2}-30.34392{col 26}{space 2} 183.1471{col 37}{space 1}   -0.17{col 46}{space 3}0.868{col 54}{space 4}-389.3056{col 67}{space 3} 328.6178
{txt}{space 7}gpgdp {c |}{col 14}{res}{space 2}-188.6516{col 26}{space 2}  442.308{col 37}{space 1}   -0.43{col 46}{space 3}0.670{col 54}{space 4}-1055.559{col 67}{space 3} 678.2562
{txt}{space 6}oilmin {c |}{col 14}{res}{space 2}-50.84354{col 26}{space 2}  5576133{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-1.09e+07{col 67}{space 3} 1.09e+07
{txt}{space 8}popm {c |}{col 14}{res}{space 2}-15.28165{col 26}{space 2} 100.8033{col 37}{space 1}   -0.15{col 46}{space 3}0.880{col 54}{space 4}-212.8526{col 67}{space 3} 182.2893
{txt}{space 3}al_ethnic {c |}{col 14}{res}{space 2} 57.28118{col 26}{space 2} 366.7361{col 37}{space 1}    0.16{col 46}{space 3}0.876{col 54}{space 4}-661.5083{col 67}{space 3} 776.0707
{txt}{space 1}al_religion {c |}{col 14}{res}{space 2} 193.4696{col 26}{space 2} 1028.394{col 37}{space 1}    0.19{col 46}{space 3}0.851{col 54}{space 4}-1822.146{col 67}{space 3} 2209.086
{txt}{space 9}age {c |}{col 14}{res}{space 2}-5.677737{col 26}{space 2} 84.40002{col 37}{space 1}   -0.07{col 46}{space 3}0.946{col 54}{space 4}-171.0987{col 67}{space 3} 159.7433
{txt}{space 8}age2 {c |}{col 14}{res}{space 2} 1.824675{col 26}{space 2} 21.14999{col 37}{space 1}    0.09{col 46}{space 3}0.931{col 54}{space 4}-39.62854{col 67}{space 3} 43.27789
{txt}{space 8}age3 {c |}{col 14}{res}{space 2}-.1322675{col 26}{space 2} 1.429065{col 37}{space 1}   -0.09{col 46}{space 3}0.926{col 54}{space 4}-2.933183{col 67}{space 3} 2.668648
{txt}{space 3}1.legis11 {c |}{col 14}{res}{space 2}  456.267{col 26}{space 2} 1351.437{col 37}{space 1}    0.34{col 46}{space 3}0.736{col 54}{space 4}-2192.501{col 67}{space 3} 3105.035
{txt}{space 4}personal {c |}{col 14}{res}{space 2}-69.88942{col 26}{space 2} 1590.867{col 37}{space 1}   -0.04{col 46}{space 3}0.965{col 54}{space 4}-3187.932{col 67}{space 3} 3048.153
{txt}{space 9}p_h {c |}{col 14}{res}{space 2}-45.95964{col 26}{space 2} 139.6124{col 37}{space 1}   -0.33{col 46}{space 3}0.742{col 54}{space 4}-319.5949{col 67}{space 3} 227.6756
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-464.2824{col 26}{space 2} 1622.594{col 37}{space 1}   -0.29{col 46}{space 3}0.775{col 54}{space 4}-3644.508{col 67}{space 3} 2715.943
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}A__A         {txt}{c |}
{space 8}frag {c |}{col 14}{res}{space 2} 1.039127{col 26}{space 2} .7013284{col 37}{space 1}    1.48{col 46}{space 3}0.138{col 54}{space 4}-.3354518{col 67}{space 3} 2.413705
{txt}{space 6}unrest {c |}{col 14}{res}{space 2} .1953779{col 26}{space 2}  .063927{col 37}{space 1}    3.06{col 46}{space 3}0.002{col 54}{space 4} .0700833{col 67}{space 3} .3206725
{txt}{space 6}region {c |}{col 14}{res}{space 2}   .60897{col 26}{space 2}  1.71643{col 37}{space 1}    0.35{col 46}{space 3}0.723{col 54}{space 4}-2.755172{col 67}{space 3} 3.973112
{txt}{space 2}e_miinterc {c |}{col 14}{res}{space 2} 1.540154{col 26}{space 2} .4589689{col 37}{space 1}    3.36{col 46}{space 3}0.001{col 54}{space 4} .6405917{col 67}{space 3} 2.439717
{txt}{space 2}e_miinteco {c |}{col 14}{res}{space 2}  .660349{col 26}{space 2} 1.212241{col 37}{space 1}    0.54{col 46}{space 3}0.586{col 54}{space 4}  -1.7156{col 67}{space 3} 3.036298
{txt}{space 8}pgdp {c |}{col 14}{res}{space 2}-.3472216{col 26}{space 2} .2391278{col 37}{space 1}   -1.45{col 46}{space 3}0.146{col 54}{space 4}-.8159035{col 67}{space 3} .1214604
{txt}{space 7}gpgdp {c |}{col 14}{res}{space 2}-4.974929{col 26}{space 2} 3.887188{col 37}{space 1}   -1.28{col 46}{space 3}0.201{col 54}{space 4}-12.59368{col 67}{space 3} 2.643818
{txt}{space 6}oilmin {c |}{col 14}{res}{space 2}-.3244179{col 26}{space 2} .6597466{col 37}{space 1}   -0.49{col 46}{space 3}0.623{col 54}{space 4}-1.617497{col 67}{space 3} .9686617
{txt}{space 8}popm {c |}{col 14}{res}{space 2}-.1108143{col 26}{space 2}   .05363{col 37}{space 1}   -2.07{col 46}{space 3}0.039{col 54}{space 4}-.2159271{col 67}{space 3}-.0057015
{txt}{space 3}al_ethnic {c |}{col 14}{res}{space 2} .7751125{col 26}{space 2} 1.321523{col 37}{space 1}    0.59{col 46}{space 3}0.558{col 54}{space 4}-1.815026{col 67}{space 3} 3.365251
{txt}{space 1}al_religion {c |}{col 14}{res}{space 2}-4.612496{col 26}{space 2} 2.302534{col 37}{space 1}   -2.00{col 46}{space 3}0.045{col 54}{space 4}-9.125381{col 67}{space 3}-.0996119
{txt}{space 9}age {c |}{col 14}{res}{space 2} .1563597{col 26}{space 2} .1253613{col 37}{space 1}    1.25{col 46}{space 3}0.212{col 54}{space 4}-.0893439{col 67}{space 3} .4020633
{txt}{space 8}age2 {c |}{col 14}{res}{space 2}-.0126812{col 26}{space 2} .0073431{col 37}{space 1}   -1.73{col 46}{space 3}0.084{col 54}{space 4}-.0270734{col 67}{space 3}  .001711
{txt}{space 8}age3 {c |}{col 14}{res}{space 2} .0002083{col 26}{space 2} .0001143{col 37}{space 1}    1.82{col 46}{space 3}0.068{col 54}{space 4}-.0000157{col 67}{space 3} .0004322
{txt}{space 3}1.legis11 {c |}{col 14}{res}{space 2}-3.778364{col 26}{space 2} 12.57576{col 37}{space 1}   -0.30{col 46}{space 3}0.764{col 54}{space 4} -28.4264{col 67}{space 3} 20.86967
{txt}{space 4}personal {c |}{col 14}{res}{space 2}  .788833{col 26}{space 2} .5025721{col 37}{space 1}    1.57{col 46}{space 3}0.117{col 54}{space 4}-.1961903{col 67}{space 3} 1.773856
{txt}{space 9}p_h {c |}{col 14}{res}{space 2} .3239385{col 26}{space 2}  1.28965{col 37}{space 1}    0.25{col 46}{space 3}0.802{col 54}{space 4}-2.203729{col 67}{space 3} 2.851606
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 1.468005{col 26}{space 2} 11.40519{col 37}{space 1}    0.13{col 46}{space 3}0.898{col 54}{space 4}-20.88575{col 67}{space 3} 23.82176
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}A__D         {txt}{c |}
{space 8}frag {c |}{col 14}{res}{space 2} .0982922{col 26}{space 2} .7596294{col 37}{space 1}    0.13{col 46}{space 3}0.897{col 54}{space 4}-1.390554{col 67}{space 3} 1.587139
{txt}{space 6}unrest {c |}{col 14}{res}{space 2} .0372134{col 26}{space 2} .0630305{col 37}{space 1}    0.59{col 46}{space 3}0.555{col 54}{space 4} -.086324{col 67}{space 3} .1607509
{txt}{space 6}region {c |}{col 14}{res}{space 2} 3.370338{col 26}{space 2} 1.739888{col 37}{space 1}    1.94{col 46}{space 3}0.053{col 54}{space 4}-.0397797{col 67}{space 3} 6.780457
{txt}{space 2}e_miinterc {c |}{col 14}{res}{space 2}-.0178714{col 26}{space 2} .5843622{col 37}{space 1}   -0.03{col 46}{space 3}0.976{col 54}{space 4}  -1.1632{col 67}{space 3} 1.127457
{txt}{space 2}e_miinteco {c |}{col 14}{res}{space 2} 1.460064{col 26}{space 2} .9168477{col 37}{space 1}    1.59{col 46}{space 3}0.111{col 54}{space 4}-.3369245{col 67}{space 3} 3.257052
{txt}{space 8}pgdp {c |}{col 14}{res}{space 2} -.088311{col 26}{space 2} .1521628{col 37}{space 1}   -0.58{col 46}{space 3}0.562{col 54}{space 4}-.3865446{col 67}{space 3} .2099226
{txt}{space 7}gpgdp {c |}{col 14}{res}{space 2} .1007909{col 26}{space 2} 5.200251{col 37}{space 1}    0.02{col 46}{space 3}0.985{col 54}{space 4}-10.09151{col 67}{space 3} 10.29309
{txt}{space 6}oilmin {c |}{col 14}{res}{space 2}  .089639{col 26}{space 2} .6640547{col 37}{space 1}    0.13{col 46}{space 3}0.893{col 54}{space 4}-1.211884{col 67}{space 3} 1.391162
{txt}{space 8}popm {c |}{col 14}{res}{space 2}  .021332{col 26}{space 2} .0129523{col 37}{space 1}    1.65{col 46}{space 3}0.100{col 54}{space 4} -.004054{col 67}{space 3}  .046718
{txt}{space 3}al_ethnic {c |}{col 14}{res}{space 2}-1.741471{col 26}{space 2} 1.375068{col 37}{space 1}   -1.27{col 46}{space 3}0.205{col 54}{space 4}-4.436556{col 67}{space 3} .9536135
{txt}{space 1}al_religion {c |}{col 14}{res}{space 2}-9.010535{col 26}{space 2} 2.777119{col 37}{space 1}   -3.24{col 46}{space 3}0.001{col 54}{space 4}-14.45359{col 67}{space 3}-3.567481
{txt}{space 9}age {c |}{col 14}{res}{space 2} .1978588{col 26}{space 2}  .146842{col 37}{space 1}    1.35{col 46}{space 3}0.178{col 54}{space 4}-.0899461{col 67}{space 3} .4856638
{txt}{space 8}age2 {c |}{col 14}{res}{space 2}-.0094267{col 26}{space 2} .0089157{col 37}{space 1}   -1.06{col 46}{space 3}0.290{col 54}{space 4}-.0269011{col 67}{space 3} .0080477
{txt}{space 8}age3 {c |}{col 14}{res}{space 2} .0000785{col 26}{space 2} .0001431{col 37}{space 1}    0.55{col 46}{space 3}0.583{col 54}{space 4} -.000202{col 67}{space 3} .0003591
{txt}{space 3}1.legis11 {c |}{col 14}{res}{space 2} 51.78943{col 26}{space 2} 14.21779{col 37}{space 1}    3.64{col 46}{space 3}0.000{col 54}{space 4} 23.92307{col 67}{space 3} 79.65579
{txt}{space 4}personal {c |}{col 14}{res}{space 2} .1671267{col 26}{space 2} .7206958{col 37}{space 1}    0.23{col 46}{space 3}0.817{col 54}{space 4}-1.245411{col 67}{space 3} 1.579665
{txt}{space 9}p_h {c |}{col 14}{res}{space 2}-5.422943{col 26}{space 2}  1.48759{col 37}{space 1}   -3.65{col 46}{space 3}0.000{col 54}{space 4}-8.338566{col 67}{space 3} -2.50732
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -50.0685{col 26}{space 2} 13.05203{col 37}{space 1}   -3.84{col 46}{space 3}0.000{col 54}{space 4}-75.65001{col 67}{space 3}  -24.487
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 1 observation completely determined.{txt} Standard errors questionable.{p_end}

{com}.        estimates store A62 
{txt}
{com}. 
. logit gwf_topdown  $controls $fordicts c.p_h                                            if a_1 == 1

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-74.635222}  
Iteration 1:{space 2}Log likelihood = {res:-70.791201}  
Iteration 2:{space 2}Log likelihood = {res:-55.540735}  
Iteration 3:{space 2}Log likelihood = {res:-53.411553}  
Iteration 4:{space 2}Log likelihood = {res:-53.216078}  
Iteration 5:{space 2}Log likelihood = {res:-53.112745}  
Iteration 6:{space 2}Log likelihood = {res:-52.525008}  
Iteration 7:{space 2}Log likelihood = {res:-52.365822}  
Iteration 8:{space 2}Log likelihood = {res:-52.364413}  
Iteration 9:{space 2}Log likelihood = {res:-52.364413}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:513}
{txt}{col 57}{lalign 13:LR chi2({res:17})}{col 70} = {res}{ralign 6:44.54}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0003}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-52.364413}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.2984}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} gwf_topdown{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}frag {c |}{col 14}{res}{space 2} .6916225{col 26}{space 2} 1.070927{col 37}{space 1}    0.65{col 46}{space 3}0.518{col 54}{space 4}-1.407356{col 67}{space 3} 2.790601
{txt}{space 6}unrest {c |}{col 14}{res}{space 2}-.0390874{col 26}{space 2} .0902036{col 37}{space 1}   -0.43{col 46}{space 3}0.665{col 54}{space 4}-.2158832{col 67}{space 3} .1377083
{txt}{space 6}region {c |}{col 14}{res}{space 2} .5572901{col 26}{space 2} 2.377953{col 37}{space 1}    0.23{col 46}{space 3}0.815{col 54}{space 4}-4.103412{col 67}{space 3} 5.217993
{txt}{space 2}e_miinterc {c |}{col 14}{res}{space 2}-.7624884{col 26}{space 2} .8688351{col 37}{space 1}   -0.88{col 46}{space 3}0.380{col 54}{space 4}-2.465374{col 67}{space 3} .9403971
{txt}{space 2}e_miinteco {c |}{col 14}{res}{space 2} .7327752{col 26}{space 2} 1.373218{col 37}{space 1}    0.53{col 46}{space 3}0.594{col 54}{space 4}-1.958683{col 67}{space 3} 3.424234
{txt}{space 8}pgdp {c |}{col 14}{res}{space 2} .0419623{col 26}{space 2} .1835616{col 37}{space 1}    0.23{col 46}{space 3}0.819{col 54}{space 4}-.3178117{col 67}{space 3} .4017364
{txt}{space 7}gpgdp {c |}{col 14}{res}{space 2}  4.03669{col 26}{space 2} 7.125147{col 37}{space 1}    0.57{col 46}{space 3}0.571{col 54}{space 4}-9.928342{col 67}{space 3} 18.00172
{txt}{space 6}oilmin {c |}{col 14}{res}{space 2}-.1521093{col 26}{space 2} .9204573{col 37}{space 1}   -0.17{col 46}{space 3}0.869{col 54}{space 4}-1.956172{col 67}{space 3} 1.651954
{txt}{space 8}popm {c |}{col 14}{res}{space 2} .0358993{col 26}{space 2} .0157666{col 37}{space 1}    2.28{col 46}{space 3}0.023{col 54}{space 4} .0049973{col 67}{space 3} .0668012
{txt}{space 3}al_ethnic {c |}{col 14}{res}{space 2}-2.808659{col 26}{space 2} 1.774645{col 37}{space 1}   -1.58{col 46}{space 3}0.113{col 54}{space 4}  -6.2869{col 67}{space 3} .6695818
{txt}{space 1}al_religion {c |}{col 14}{res}{space 2}-13.53203{col 26}{space 2} 4.207416{col 37}{space 1}   -3.22{col 46}{space 3}0.001{col 54}{space 4}-21.77842{col 67}{space 3} -5.28565
{txt}{space 9}age {c |}{col 14}{res}{space 2} .0838932{col 26}{space 2} .4621367{col 37}{space 1}    0.18{col 46}{space 3}0.856{col 54}{space 4}-.8218782{col 67}{space 3} .9896646
{txt}{space 8}age2 {c |}{col 14}{res}{space 2} .0350395{col 26}{space 2} .0549732{col 37}{space 1}    0.64{col 46}{space 3}0.524{col 54}{space 4} -.072706{col 67}{space 3} .1427849
{txt}{space 8}age3 {c |}{col 14}{res}{space 2}-.0017687{col 26}{space 2} .0017647{col 37}{space 1}   -1.00{col 46}{space 3}0.316{col 54}{space 4}-.0052274{col 67}{space 3}   .00169
{txt}{space 3}1.legis11 {c |}{col 14}{res}{space 2} 77.00797{col 26}{space 2} 24.22828{col 37}{space 1}    3.18{col 46}{space 3}0.001{col 54}{space 4} 29.52143{col 67}{space 3} 124.4945
{txt}{space 4}personal {c |}{col 14}{res}{space 2} 1.352938{col 26}{space 2} .9082592{col 37}{space 1}    1.49{col 46}{space 3}0.136{col 54}{space 4}-.4272171{col 67}{space 3} 3.133094
{txt}{space 9}p_h {c |}{col 14}{res}{space 2}-8.105339{col 26}{space 2}  2.54066{col 37}{space 1}   -3.19{col 46}{space 3}0.001{col 54}{space 4}-13.08494{col 67}{space 3}-3.125736
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-73.09035{col 26}{space 2} 22.12157{col 37}{space 1}   -3.30{col 46}{space 3}0.001{col 54}{space 4}-116.4478{col 67}{space 3}-29.73288
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 83 failures and 0 successes completely determined.{p_end}

{com}.        estimates store A63 
{txt}
{com}.  
. * Table A6
. esttab A61 A62 A63 using "TableA6.rtf", cell(b(star fmt (%9.2f)) se(par)) mtitles("End of regime" "A-to-A" "A-to-D" "Top-Down Democratization") ///
>     uns drop(0: D__A:) ///
>        nobase ///
>        stats(N ll, fmt(%9.0g %9.3f) labels("N" "Log-L"))starlevels(* 0.05 ** 0.01) ///
>            o(p_h 1.legis11 personal $controls ) ///
>            legend label varlabels(_cons Constant) title("Table A6. Regime Termination with Dictator's Share as Proxy for Concessions (GWF)") mtitles replace
{res}{txt}{p 0 4 2}
(file {bf}
TableA6.rtf{rm}
not found)
{p_end}
{res}{txt}(output written to {browse  `"TableA6.rtf"'})

{com}. 
. * CGV
. eststo clear
{txt}
{com}. replace age  = age_cgv
{txt}(534 real changes made)

{com}. replace age2 = age2_cgv
{txt}(534 real changes made)

{com}. replace age3 = age3_cgv
{txt}(534 real changes made)

{com}. logit end1_cgv  $controls $fordicts c.p_h                                       if a_1 == 1

{res}{txt}Iteration 0:{space 2}Log likelihood = {res: -197.0771}  
Iteration 1:{space 2}Log likelihood = {res:-173.39487}  
Iteration 2:{space 2}Log likelihood = {res:-167.78396}  
Iteration 3:{space 2}Log likelihood = {res:-167.66936}  
Iteration 4:{space 2}Log likelihood = {res:-167.66926}  
Iteration 5:{space 2}Log likelihood = {res:-167.66926}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:561}
{txt}{col 57}{lalign 13:LR chi2({res:17})}{col 70} = {res}{ralign 6:58.82}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-167.66926}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.1492}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    end1_cgv{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}frag {c |}{col 14}{res}{space 2}-.1017642{col 26}{space 2} .4890627{col 37}{space 1}   -0.21{col 46}{space 3}0.835{col 54}{space 4} -1.06031{col 67}{space 3} .8567812
{txt}{space 6}unrest {c |}{col 14}{res}{space 2} .0309339{col 26}{space 2} .0491213{col 37}{space 1}    0.63{col 46}{space 3}0.529{col 54}{space 4} -.065342{col 67}{space 3} .1272099
{txt}{space 6}region {c |}{col 14}{res}{space 2} 2.357301{col 26}{space 2} 1.106165{col 37}{space 1}    2.13{col 46}{space 3}0.033{col 54}{space 4} .1892575{col 67}{space 3} 4.525344
{txt}{space 2}e_miinterc {c |}{col 14}{res}{space 2} .7398214{col 26}{space 2} .3378959{col 37}{space 1}    2.19{col 46}{space 3}0.029{col 54}{space 4} .0775576{col 67}{space 3} 1.402085
{txt}{space 2}e_miinteco {c |}{col 14}{res}{space 2} 1.127449{col 26}{space 2} .7711265{col 37}{space 1}    1.46{col 46}{space 3}0.144{col 54}{space 4}-.3839315{col 67}{space 3} 2.638829
{txt}{space 8}pgdp {c |}{col 14}{res}{space 2}-.1082788{col 26}{space 2} .1146876{col 37}{space 1}   -0.94{col 46}{space 3}0.345{col 54}{space 4}-.3330624{col 67}{space 3} .1165049
{txt}{space 7}gpgdp {c |}{col 14}{res}{space 2}-6.853173{col 26}{space 2} 2.846098{col 37}{space 1}   -2.41{col 46}{space 3}0.016{col 54}{space 4}-12.43142{col 67}{space 3}-1.274924
{txt}{space 6}oilmin {c |}{col 14}{res}{space 2}-.2033624{col 26}{space 2} .4760847{col 37}{space 1}   -0.43{col 46}{space 3}0.669{col 54}{space 4}-1.136471{col 67}{space 3} .7297466
{txt}{space 8}popm {c |}{col 14}{res}{space 2} .0036739{col 26}{space 2}  .010208{col 37}{space 1}    0.36{col 46}{space 3}0.719{col 54}{space 4}-.0163334{col 67}{space 3} .0236812
{txt}{space 3}al_ethnic {c |}{col 14}{res}{space 2}-.1974607{col 26}{space 2} .8610339{col 37}{space 1}   -0.23{col 46}{space 3}0.819{col 54}{space 4}-1.885056{col 67}{space 3} 1.490135
{txt}{space 1}al_religion {c |}{col 14}{res}{space 2}-5.107551{col 26}{space 2} 1.534506{col 37}{space 1}   -3.33{col 46}{space 3}0.001{col 54}{space 4}-8.115128{col 67}{space 3}-2.099974
{txt}{space 9}age {c |}{col 14}{res}{space 2} .1733547{col 26}{space 2} .0982097{col 37}{space 1}    1.77{col 46}{space 3}0.078{col 54}{space 4}-.0191328{col 67}{space 3} .3658422
{txt}{space 8}age2 {c |}{col 14}{res}{space 2}-.0119995{col 26}{space 2} .0060245{col 37}{space 1}   -1.99{col 46}{space 3}0.046{col 54}{space 4}-.0238072{col 67}{space 3}-.0001917
{txt}{space 8}age3 {c |}{col 14}{res}{space 2} .0001973{col 26}{space 2} .0000936{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4} .0000138{col 67}{space 3} .0003808
{txt}{space 3}1.legis11 {c |}{col 14}{res}{space 2} 29.20532{col 26}{space 2} 8.137155{col 37}{space 1}    3.59{col 46}{space 3}0.000{col 54}{space 4} 13.25679{col 67}{space 3} 45.15385
{txt}{space 4}personal {c |}{col 14}{res}{space 2} .2522154{col 26}{space 2} .4072413{col 37}{space 1}    0.62{col 46}{space 3}0.536{col 54}{space 4}-.5459628{col 67}{space 3} 1.050394
{txt}{space 9}p_h {c |}{col 14}{res}{space 2}-3.048139{col 26}{space 2}  .842273{col 37}{space 1}   -3.62{col 46}{space 3}0.000{col 54}{space 4}-4.698964{col 67}{space 3}-1.397314
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-28.97168{col 26}{space 2} 7.482982{col 37}{space 1}   -3.87{col 46}{space 3}0.000{col 54}{space 4}-43.63806{col 67}{space 3}-14.30531
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.        estimates store A71
{txt}
{com}.            
. mlogit end2_cgv $controls $fordicts c.p_h                                                                               if a_1 == 1

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-254.43334}  
Iteration 1:{space 2}Log likelihood = {res:-210.48321}  
Iteration 2:{space 2}Log likelihood = {res:-188.99795}  
Iteration 3:{space 2}Log likelihood = {res:-185.52541}  
Iteration 4:{space 2}Log likelihood = {res:-185.11692}  
Iteration 5:{space 2}Log likelihood = {res:-185.04089}  
Iteration 6:{space 2}Log likelihood = {res:-184.96444}  
Iteration 7:{space 2}Log likelihood = {res:-184.92371}  
Iteration 8:{space 2}Log likelihood = {res:-184.91973}  
Iteration 9:{space 2}Log likelihood = {res:-184.91964}  
Iteration 10:{space 1}Log likelihood = {res:-184.91962}  
Iteration 11:{space 1}Log likelihood = {res:-184.91962}  
{res}
{txt}{col 1}Multinomial logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:561}
{txt}{col 57}{lalign 13:LR chi2({res:51})}{col 70} = {res}{ralign 6:139.03}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-184.91962}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.2732}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    end2_cgv{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}0           {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}D__A         {txt}{c |}
{space 8}frag {c |}{col 14}{res}{space 2} 1.860717{col 26}{space 2} 1.488724{col 37}{space 1}    1.25{col 46}{space 3}0.211{col 54}{space 4}-1.057129{col 67}{space 3} 4.778563
{txt}{space 6}unrest {c |}{col 14}{res}{space 2} .2588224{col 26}{space 2} .2029327{col 37}{space 1}    1.28{col 46}{space 3}0.202{col 54}{space 4}-.1389184{col 67}{space 3} .6565633
{txt}{space 6}region {c |}{col 14}{res}{space 2}-2.262504{col 26}{space 2} 6.074189{col 37}{space 1}   -0.37{col 46}{space 3}0.710{col 54}{space 4} -14.1677{col 67}{space 3} 9.642689
{txt}{space 2}e_miinterc {c |}{col 14}{res}{space 2} .8623127{col 26}{space 2} 1.906491{col 37}{space 1}    0.45{col 46}{space 3}0.651{col 54}{space 4}-2.874342{col 67}{space 3} 4.598967
{txt}{space 2}e_miinteco {c |}{col 14}{res}{space 2}-17.83937{col 26}{space 2} 12544.59{col 37}{space 1}   -0.00{col 46}{space 3}0.999{col 54}{space 4}-24604.79{col 67}{space 3} 24569.11
{txt}{space 8}pgdp {c |}{col 14}{res}{space 2} .3335767{col 26}{space 2} .8517808{col 37}{space 1}    0.39{col 46}{space 3}0.695{col 54}{space 4}-1.335883{col 67}{space 3} 2.003036
{txt}{space 7}gpgdp {c |}{col 14}{res}{space 2} 5.073713{col 26}{space 2} 16.38478{col 37}{space 1}    0.31{col 46}{space 3}0.757{col 54}{space 4}-27.03986{col 67}{space 3} 37.18728
{txt}{space 6}oilmin {c |}{col 14}{res}{space 2}-16.02532{col 26}{space 2}  3692.61{col 37}{space 1}   -0.00{col 46}{space 3}0.997{col 54}{space 4}-7253.409{col 67}{space 3} 7221.358
{txt}{space 8}popm {c |}{col 14}{res}{space 2}-.1214357{col 26}{space 2} .1490716{col 37}{space 1}   -0.81{col 46}{space 3}0.415{col 54}{space 4}-.4136108{col 67}{space 3} .1707393
{txt}{space 3}al_ethnic {c |}{col 14}{res}{space 2} .5222028{col 26}{space 2} 7.638743{col 37}{space 1}    0.07{col 46}{space 3}0.945{col 54}{space 4}-14.44946{col 67}{space 3} 15.49386
{txt}{space 1}al_religion {c |}{col 14}{res}{space 2}-20.61157{col 26}{space 2} 10.60658{col 37}{space 1}   -1.94{col 46}{space 3}0.052{col 54}{space 4}-41.40008{col 67}{space 3} .1769449
{txt}{space 9}age {c |}{col 14}{res}{space 2}-.0250331{col 26}{space 2} 1.279518{col 37}{space 1}   -0.02{col 46}{space 3}0.984{col 54}{space 4}-2.532843{col 67}{space 3} 2.482777
{txt}{space 8}age2 {c |}{col 14}{res}{space 2}  .042613{col 26}{space 2}  .160252{col 37}{space 1}    0.27{col 46}{space 3}0.790{col 54}{space 4}-.2714752{col 67}{space 3} .3567012
{txt}{space 8}age3 {c |}{col 14}{res}{space 2}  -.00201{col 26}{space 2} .0056375{col 37}{space 1}   -0.36{col 46}{space 3}0.721{col 54}{space 4}-.0130593{col 67}{space 3} .0090392
{txt}{space 3}1.legis11 {c |}{col 14}{res}{space 2} 73.78569{col 26}{space 2} 2167.452{col 37}{space 1}    0.03{col 46}{space 3}0.973{col 54}{space 4}-4174.342{col 67}{space 3} 4321.913
{txt}{space 4}personal {c |}{col 14}{res}{space 2} 4.475974{col 26}{space 2} 2.400348{col 37}{space 1}    1.86{col 46}{space 3}0.062{col 54}{space 4}-.2286218{col 67}{space 3}  9.18057
{txt}{space 9}p_h {c |}{col 14}{res}{space 2}-5.975379{col 26}{space 2} 4.497715{col 37}{space 1}   -1.33{col 46}{space 3}0.184{col 54}{space 4}-14.79074{col 67}{space 3}  2.83998
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-72.46715{col 26}{space 2} 2167.382{col 37}{space 1}   -0.03{col 46}{space 3}0.973{col 54}{space 4}-4320.457{col 67}{space 3} 4175.523
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}A__A         {txt}{c |}
{space 8}frag {c |}{col 14}{res}{space 2} .2604699{col 26}{space 2} .9251512{col 37}{space 1}    0.28{col 46}{space 3}0.778{col 54}{space 4}-1.552793{col 67}{space 3} 2.073733
{txt}{space 6}unrest {c |}{col 14}{res}{space 2}  .074425{col 26}{space 2} .0827162{col 37}{space 1}    0.90{col 46}{space 3}0.368{col 54}{space 4}-.0876958{col 67}{space 3} .2365458
{txt}{space 6}region {c |}{col 14}{res}{space 2} 2.105437{col 26}{space 2} 1.735348{col 37}{space 1}    1.21{col 46}{space 3}0.225{col 54}{space 4}-1.295783{col 67}{space 3} 5.506656
{txt}{space 2}e_miinterc {c |}{col 14}{res}{space 2} 1.242725{col 26}{space 2} .5540787{col 37}{space 1}    2.24{col 46}{space 3}0.025{col 54}{space 4} .1567508{col 67}{space 3}   2.3287
{txt}{space 2}e_miinteco {c |}{col 14}{res}{space 2} 1.491677{col 26}{space 2} 1.263414{col 37}{space 1}    1.18{col 46}{space 3}0.238{col 54}{space 4}-.9845693{col 67}{space 3} 3.967924
{txt}{space 8}pgdp {c |}{col 14}{res}{space 2}  -.66883{col 26}{space 2} .3715173{col 37}{space 1}   -1.80{col 46}{space 3}0.072{col 54}{space 4} -1.39699{col 67}{space 3} .0593305
{txt}{space 7}gpgdp {c |}{col 14}{res}{space 2}-11.31248{col 26}{space 2} 4.019104{col 37}{space 1}   -2.81{col 46}{space 3}0.005{col 54}{space 4}-19.18978{col 67}{space 3}-3.435178
{txt}{space 6}oilmin {c |}{col 14}{res}{space 2}-.4270684{col 26}{space 2} .8469906{col 37}{space 1}   -0.50{col 46}{space 3}0.614{col 54}{space 4} -2.08714{col 67}{space 3} 1.233003
{txt}{space 8}popm {c |}{col 14}{res}{space 2}-.0207321{col 26}{space 2} .0385134{col 37}{space 1}   -0.54{col 46}{space 3}0.590{col 54}{space 4} -.096217{col 67}{space 3} .0547528
{txt}{space 3}al_ethnic {c |}{col 14}{res}{space 2} 2.153475{col 26}{space 2} 1.499163{col 37}{space 1}    1.44{col 46}{space 3}0.151{col 54}{space 4}-.7848311{col 67}{space 3} 5.091781
{txt}{space 1}al_religion {c |}{col 14}{res}{space 2}-3.685249{col 26}{space 2}  2.61107{col 37}{space 1}   -1.41{col 46}{space 3}0.158{col 54}{space 4}-8.802852{col 67}{space 3} 1.432354
{txt}{space 9}age {c |}{col 14}{res}{space 2} .2685843{col 26}{space 2} .1554341{col 37}{space 1}    1.73{col 46}{space 3}0.084{col 54}{space 4} -.036061{col 67}{space 3} .5732296
{txt}{space 8}age2 {c |}{col 14}{res}{space 2}-.0163632{col 26}{space 2} .0088826{col 37}{space 1}   -1.84{col 46}{space 3}0.065{col 54}{space 4}-.0337729{col 67}{space 3} .0010464
{txt}{space 8}age3 {c |}{col 14}{res}{space 2} .0002584{col 26}{space 2} .0001317{col 37}{space 1}    1.96{col 46}{space 3}0.050{col 54}{space 4} 2.90e-07{col 67}{space 3} .0005164
{txt}{space 3}1.legis11 {c |}{col 14}{res}{space 2}-25.63179{col 26}{space 2} 16.82357{col 37}{space 1}   -1.52{col 46}{space 3}0.128{col 54}{space 4}-58.60538{col 67}{space 3} 7.341798
{txt}{space 4}personal {c |}{col 14}{res}{space 2}-.0735969{col 26}{space 2} .6049177{col 37}{space 1}   -0.12{col 46}{space 3}0.903{col 54}{space 4}-1.259214{col 67}{space 3}  1.11202
{txt}{space 9}p_h {c |}{col 14}{res}{space 2}  2.61532{col 26}{space 2} 1.713987{col 37}{space 1}    1.53{col 46}{space 3}0.127{col 54}{space 4}-.7440322{col 67}{space 3} 5.974672
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 19.95824{col 26}{space 2} 15.14246{col 37}{space 1}    1.32{col 46}{space 3}0.187{col 54}{space 4}-9.720432{col 67}{space 3} 49.63692
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}A__D         {txt}{c |}
{space 8}frag {c |}{col 14}{res}{space 2}-.0855838{col 26}{space 2} .7022617{col 37}{space 1}   -0.12{col 46}{space 3}0.903{col 54}{space 4}-1.461991{col 67}{space 3} 1.290824
{txt}{space 6}unrest {c |}{col 14}{res}{space 2}-.0878093{col 26}{space 2} .0912011{col 37}{space 1}   -0.96{col 46}{space 3}0.336{col 54}{space 4}-.2665601{col 67}{space 3} .0909415
{txt}{space 6}region {c |}{col 14}{res}{space 2} 3.308111{col 26}{space 2} 1.666234{col 37}{space 1}    1.99{col 46}{space 3}0.047{col 54}{space 4} .0423517{col 67}{space 3} 6.573871
{txt}{space 2}e_miinterc {c |}{col 14}{res}{space 2} .9653247{col 26}{space 2} .4786333{col 37}{space 1}    2.02{col 46}{space 3}0.044{col 54}{space 4} .0272206{col 67}{space 3} 1.903429
{txt}{space 2}e_miinteco {c |}{col 14}{res}{space 2} 2.090787{col 26}{space 2} 1.001175{col 37}{space 1}    2.09{col 46}{space 3}0.037{col 54}{space 4} .1285207{col 67}{space 3} 4.053053
{txt}{space 8}pgdp {c |}{col 14}{res}{space 2}-.0099437{col 26}{space 2} .1352457{col 37}{space 1}   -0.07{col 46}{space 3}0.941{col 54}{space 4}-.2750204{col 67}{space 3}  .255133
{txt}{space 7}gpgdp {c |}{col 14}{res}{space 2}-1.048559{col 26}{space 2} 4.844959{col 37}{space 1}   -0.22{col 46}{space 3}0.829{col 54}{space 4} -10.5445{col 67}{space 3} 8.447386
{txt}{space 6}oilmin {c |}{col 14}{res}{space 2} .0641751{col 26}{space 2} .6036817{col 37}{space 1}    0.11{col 46}{space 3}0.915{col 54}{space 4}-1.119019{col 67}{space 3} 1.247369
{txt}{space 8}popm {c |}{col 14}{res}{space 2}   .01732{col 26}{space 2} .0119005{col 37}{space 1}    1.46{col 46}{space 3}0.146{col 54}{space 4}-.0060046{col 67}{space 3} .0406446
{txt}{space 3}al_ethnic {c |}{col 14}{res}{space 2}-1.440474{col 26}{space 2} 1.275584{col 37}{space 1}   -1.13{col 46}{space 3}0.259{col 54}{space 4}-3.940573{col 67}{space 3} 1.059624
{txt}{space 1}al_religion {c |}{col 14}{res}{space 2}-7.304078{col 26}{space 2} 2.419507{col 37}{space 1}   -3.02{col 46}{space 3}0.003{col 54}{space 4}-12.04623{col 67}{space 3}-2.561931
{txt}{space 9}age {c |}{col 14}{res}{space 2} .2315575{col 26}{space 2} .1576972{col 37}{space 1}    1.47{col 46}{space 3}0.142{col 54}{space 4}-.0775233{col 67}{space 3} .5406383
{txt}{space 8}age2 {c |}{col 14}{res}{space 2}-.0153988{col 26}{space 2} .0108539{col 37}{space 1}   -1.42{col 46}{space 3}0.156{col 54}{space 4}-.0366721{col 67}{space 3} .0058745
{txt}{space 8}age3 {c |}{col 14}{res}{space 2} .0002287{col 26}{space 2}  .000183{col 37}{space 1}    1.25{col 46}{space 3}0.212{col 54}{space 4}-.0001301{col 67}{space 3} .0005874
{txt}{space 3}1.legis11 {c |}{col 14}{res}{space 2} 66.87889{col 26}{space 2} 14.68124{col 37}{space 1}    4.56{col 46}{space 3}0.000{col 54}{space 4} 38.10419{col 67}{space 3} 95.65359
{txt}{space 4}personal {c |}{col 14}{res}{space 2}-1.215622{col 26}{space 2} .9229614{col 37}{space 1}   -1.32{col 46}{space 3}0.188{col 54}{space 4}-3.024594{col 67}{space 3} .5933487
{txt}{space 9}p_h {c |}{col 14}{res}{space 2}  -7.0506{col 26}{space 2} 1.547832{col 37}{space 1}   -4.56{col 46}{space 3}0.000{col 54}{space 4}-10.08429{col 67}{space 3}-4.016905
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-64.97693{col 26}{space 2} 13.57629{col 37}{space 1}   -4.79{col 46}{space 3}0.000{col 54}{space 4}-91.58598{col 67}{space 3}-38.36789
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.        estimates store A72
{txt}
{com}.            
. * Table A7
. esttab A71 A72 using "TableA7.rtf", cell(b(star fmt (%9.2f)) se(par)) mtitles("End of regime" "A-to-A" "A-to-D") ///
>     uns drop(0: D__A:) ///
>        nobase ///
>        stats(N ll, fmt(%9.0g %9.3f) labels("N" "Log-L"))starlevels(* 0.05 ** 0.01) ///
>            o(p_h 1.legis11 personal $controls ) ///
>            legend label varlabels(_cons Constant) ///
>            title("Table A7. Regime Termination with Dictator's Share as Proxy for Concessions (CGV)") ///
>            replace
{res}{txt}{p 0 4 2}
(file {bf}
TableA7.rtf{rm}
not found)
{p_end}
{res}{txt}(output written to {browse  `"TableA7.rtf"'})

{com}. 
. 
. * Svolik
. eststo clear
{txt}
{com}. replace age  = age_sv
{txt}(499 real changes made)

{com}. replace age2 = age2_sv
{txt}(499 real changes made)

{com}. replace age3 = age3_sv
{txt}(499 real changes made)

{com}. logit end1_sv  $controls $fordicts c.p_h                                        if a_1 == 1

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-188.66146}  
Iteration 1:{space 2}Log likelihood = {res:-166.85506}  
Iteration 2:{space 2}Log likelihood = {res:-162.16002}  
Iteration 3:{space 2}Log likelihood = {res:-161.86075}  
Iteration 4:{space 2}Log likelihood = {res:-161.85023}  
Iteration 5:{space 2}Log likelihood = {res: -161.8502}  
Iteration 6:{space 2}Log likelihood = {res: -161.8502}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:561}
{txt}{col 57}{lalign 13:LR chi2({res:17})}{col 70} = {res}{ralign 6:53.62}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 9:-161.8502}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.1421}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     end1_sv{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}frag {c |}{col 14}{res}{space 2}-.7533783{col 26}{space 2}  .615549{col 37}{space 1}   -1.22{col 46}{space 3}0.221{col 54}{space 4}-1.959832{col 67}{space 3} .4530756
{txt}{space 6}unrest {c |}{col 14}{res}{space 2} .0446216{col 26}{space 2} .0493641{col 37}{space 1}    0.90{col 46}{space 3}0.366{col 54}{space 4}-.0521301{col 67}{space 3} .1413734
{txt}{space 6}region {c |}{col 14}{res}{space 2} 2.214084{col 26}{space 2} 1.219149{col 37}{space 1}    1.82{col 46}{space 3}0.069{col 54}{space 4}-.1754049{col 67}{space 3} 4.603572
{txt}{space 2}e_miinterc {c |}{col 14}{res}{space 2} .8756042{col 26}{space 2} .3378071{col 37}{space 1}    2.59{col 46}{space 3}0.010{col 54}{space 4} .2135144{col 67}{space 3} 1.537694
{txt}{space 2}e_miinteco {c |}{col 14}{res}{space 2}-.1849616{col 26}{space 2} .9582386{col 37}{space 1}   -0.19{col 46}{space 3}0.847{col 54}{space 4}-2.063075{col 67}{space 3} 1.693152
{txt}{space 8}pgdp {c |}{col 14}{res}{space 2} .0743024{col 26}{space 2} .1129615{col 37}{space 1}    0.66{col 46}{space 3}0.511{col 54}{space 4} -.147098{col 67}{space 3} .2957029
{txt}{space 7}gpgdp {c |}{col 14}{res}{space 2} -8.89423{col 26}{space 2} 2.912977{col 37}{space 1}   -3.05{col 46}{space 3}0.002{col 54}{space 4}-14.60356{col 67}{space 3}  -3.1849
{txt}{space 6}oilmin {c |}{col 14}{res}{space 2}-.2248752{col 26}{space 2} .4748785{col 37}{space 1}   -0.47{col 46}{space 3}0.636{col 54}{space 4} -1.15562{col 67}{space 3} .7058696
{txt}{space 8}popm {c |}{col 14}{res}{space 2}-.0240265{col 26}{space 2} .0243907{col 37}{space 1}   -0.99{col 46}{space 3}0.325{col 54}{space 4}-.0718315{col 67}{space 3} .0237785
{txt}{space 3}al_ethnic {c |}{col 14}{res}{space 2}-.0526069{col 26}{space 2} .8640249{col 37}{space 1}   -0.06{col 46}{space 3}0.951{col 54}{space 4}-1.746065{col 67}{space 3} 1.640851
{txt}{space 1}al_religion {c |}{col 14}{res}{space 2}-5.138592{col 26}{space 2} 1.636063{col 37}{space 1}   -3.14{col 46}{space 3}0.002{col 54}{space 4}-8.345216{col 67}{space 3}-1.931968
{txt}{space 9}age {c |}{col 14}{res}{space 2} .1362601{col 26}{space 2} .0871324{col 37}{space 1}    1.56{col 46}{space 3}0.118{col 54}{space 4}-.0345162{col 67}{space 3} .3070364
{txt}{space 8}age2 {c |}{col 14}{res}{space 2}-.0077534{col 26}{space 2} .0047461{col 37}{space 1}   -1.63{col 46}{space 3}0.102{col 54}{space 4}-.0170555{col 67}{space 3} .0015487
{txt}{space 8}age3 {c |}{col 14}{res}{space 2} .0000961{col 26}{space 2} .0000662{col 37}{space 1}    1.45{col 46}{space 3}0.147{col 54}{space 4}-.0000336{col 67}{space 3} .0002258
{txt}{space 3}1.legis11 {c |}{col 14}{res}{space 2} 23.76048{col 26}{space 2} 9.012219{col 37}{space 1}    2.64{col 46}{space 3}0.008{col 54}{space 4}  6.09686{col 67}{space 3} 41.42411
{txt}{space 4}personal {c |}{col 14}{res}{space 2} .3346162{col 26}{space 2} .4146308{col 37}{space 1}    0.81{col 46}{space 3}0.420{col 54}{space 4}-.4780454{col 67}{space 3} 1.147278
{txt}{space 9}p_h {c |}{col 14}{res}{space 2}-2.490162{col 26}{space 2} .9300382{col 37}{space 1}   -2.68{col 46}{space 3}0.007{col 54}{space 4}-4.313003{col 67}{space 3}-.6673203
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -23.9297{col 26}{space 2} 8.292325{col 37}{space 1}   -2.89{col 46}{space 3}0.004{col 54}{space 4}-40.18236{col 67}{space 3}-7.677041
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.        estimates store A81
{txt}
{com}.           
. mlogit end2_sv $controls $fordicts c.p_h                                                                                if a_1 == 1

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-221.48905}  
Iteration 1:{space 2}Log likelihood = {res:-188.54266}  
Iteration 2:{space 2}Log likelihood = {res:-168.36369}  
Iteration 3:{space 2}Log likelihood = {res:-163.82424}  
Iteration 4:{space 2}Log likelihood = {res:-162.02459}  
Iteration 5:{space 2}Log likelihood = {res:-160.53632}  
Iteration 6:{space 2}Log likelihood = {res:-156.96022}  
Iteration 7:{space 2}Log likelihood = {res:-155.29424}  
Iteration 8:{space 2}Log likelihood = {res:-155.04577}  
Iteration 9:{space 2}Log likelihood = {res:-155.02236}  
Iteration 10:{space 1}Log likelihood = {res:-155.01717}  
Iteration 11:{space 1}Log likelihood = {res:-155.01603}  
Iteration 12:{space 1}Log likelihood = {res:-155.01583}  
Iteration 13:{space 1}Log likelihood = {res:-155.01581}  
Iteration 14:{space 1}Log likelihood = {res:-155.01581}  
{res}
{txt}{col 1}Multinomial logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:561}
{txt}{col 57}{lalign 13:LR chi2({res:51})}{col 70} = {res}{ralign 6:132.95}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-155.01581}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.3001}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     end2_sv{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}0           {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}D__A         {txt}{c |}
{space 8}frag {c |}{col 14}{res}{space 2}-2513.066{col 26}{space 2}   224180{col 37}{space 1}   -0.01{col 46}{space 3}0.991{col 54}{space 4}-441897.8{col 67}{space 3} 436871.7
{txt}{space 6}unrest {c |}{col 14}{res}{space 2} 12.21041{col 26}{space 2} 1251.181{col 37}{space 1}    0.01{col 46}{space 3}0.992{col 54}{space 4} -2440.06{col 67}{space 3}  2464.48
{txt}{space 6}region {c |}{col 14}{res}{space 2} -54.8308{col 26}{space 2} 32452.31{col 37}{space 1}   -0.00{col 46}{space 3}0.999{col 54}{space 4}-63660.19{col 67}{space 3} 63550.52
{txt}{space 2}e_miinterc {c |}{col 14}{res}{space 2} 51.10244{col 26}{space 2} 6026.988{col 37}{space 1}    0.01{col 46}{space 3}0.993{col 54}{space 4}-11761.58{col 67}{space 3} 11863.78
{txt}{space 2}e_miinteco {c |}{col 14}{res}{space 2}-63.52543{col 26}{space 2} 803797.8{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4} -1575478{col 67}{space 3}  1575351
{txt}{space 8}pgdp {c |}{col 14}{res}{space 2}-18.80977{col 26}{space 2} 1959.279{col 37}{space 1}   -0.01{col 46}{space 3}0.992{col 54}{space 4}-3858.927{col 67}{space 3} 3821.307
{txt}{space 7}gpgdp {c |}{col 14}{res}{space 2}-1689.238{col 26}{space 2} 158016.9{col 37}{space 1}   -0.01{col 46}{space 3}0.991{col 54}{space 4}-311396.6{col 67}{space 3} 308018.1
{txt}{space 6}oilmin {c |}{col 14}{res}{space 2}-224.5174{col 26}{space 2} 101454.5{col 37}{space 1}   -0.00{col 46}{space 3}0.998{col 54}{space 4}-199071.7{col 67}{space 3} 198622.7
{txt}{space 8}popm {c |}{col 14}{res}{space 2} 5.771367{col 26}{space 2} 464.6384{col 37}{space 1}    0.01{col 46}{space 3}0.990{col 54}{space 4}-904.9031{col 67}{space 3} 916.4459
{txt}{space 3}al_ethnic {c |}{col 14}{res}{space 2}-726.6834{col 26}{space 2} 63239.92{col 37}{space 1}   -0.01{col 46}{space 3}0.991{col 54}{space 4}-124674.7{col 67}{space 3} 123221.3
{txt}{space 1}al_religion {c |}{col 14}{res}{space 2}-1033.361{col 26}{space 2} 91918.15{col 37}{space 1}   -0.01{col 46}{space 3}0.991{col 54}{space 4}-181189.6{col 67}{space 3} 179122.9
{txt}{space 9}age {c |}{col 14}{res}{space 2} 21.25006{col 26}{space 2} 5330.928{col 37}{space 1}    0.00{col 46}{space 3}0.997{col 54}{space 4}-10427.18{col 67}{space 3} 10469.68
{txt}{space 8}age2 {c |}{col 14}{res}{space 2}-1.672539{col 26}{space 2} 277.1445{col 37}{space 1}   -0.01{col 46}{space 3}0.995{col 54}{space 4}-544.8658{col 67}{space 3} 541.5207
{txt}{space 8}age3 {c |}{col 14}{res}{space 2} .0346916{col 26}{space 2} 4.184096{col 37}{space 1}    0.01{col 46}{space 3}0.993{col 54}{space 4}-8.165986{col 67}{space 3} 8.235369
{txt}{space 3}1.legis11 {c |}{col 14}{res}{space 2}-2273.627{col 26}{space 2} 241555.4{col 37}{space 1}   -0.01{col 46}{space 3}0.992{col 54}{space 4}-475713.5{col 67}{space 3} 471166.3
{txt}{space 4}personal {c |}{col 14}{res}{space 2} 50.78445{col 26}{space 2} 6593.701{col 37}{space 1}    0.01{col 46}{space 3}0.994{col 54}{space 4}-12872.63{col 67}{space 3}  12974.2
{txt}{space 9}p_h {c |}{col 14}{res}{space 2} 237.7844{col 26}{space 2} 25052.49{col 37}{space 1}    0.01{col 46}{space 3}0.992{col 54}{space 4}-48864.19{col 67}{space 3} 49339.76
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 2286.539{col 26}{space 2} 248042.1{col 37}{space 1}    0.01{col 46}{space 3}0.993{col 54}{space 4}  -483867{col 67}{space 3}   488440
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}A__A         {txt}{c |}
{space 8}frag {c |}{col 14}{res}{space 2}-25.06891{col 26}{space 2} 143992.7{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-282245.6{col 67}{space 3} 282195.5
{txt}{space 6}unrest {c |}{col 14}{res}{space 2} .1126483{col 26}{space 2} .0711734{col 37}{space 1}    1.58{col 46}{space 3}0.113{col 54}{space 4} -.026849{col 67}{space 3} .2521455
{txt}{space 6}region {c |}{col 14}{res}{space 2} 1.328642{col 26}{space 2} 2.042206{col 37}{space 1}    0.65{col 46}{space 3}0.515{col 54}{space 4}-2.674009{col 67}{space 3} 5.331293
{txt}{space 2}e_miinterc {c |}{col 14}{res}{space 2} .8585421{col 26}{space 2} .4803474{col 37}{space 1}    1.79{col 46}{space 3}0.074{col 54}{space 4}-.0829215{col 67}{space 3} 1.800006
{txt}{space 2}e_miinteco {c |}{col 14}{res}{space 2} -25.4051{col 26}{space 2} 457101.4{col 37}{space 1}   -0.00{col 46}{space 3}1.000{col 54}{space 4}-895927.6{col 67}{space 3} 895876.8
{txt}{space 8}pgdp {c |}{col 14}{res}{space 2}-.0102655{col 26}{space 2} .1917156{col 37}{space 1}   -0.05{col 46}{space 3}0.957{col 54}{space 4}-.3860211{col 67}{space 3} .3654902
{txt}{space 7}gpgdp {c |}{col 14}{res}{space 2}-4.153547{col 26}{space 2} 4.198164{col 37}{space 1}   -0.99{col 46}{space 3}0.322{col 54}{space 4} -12.3818{col 67}{space 3} 4.074703
{txt}{space 6}oilmin {c |}{col 14}{res}{space 2}-.3814084{col 26}{space 2} .6786211{col 37}{space 1}   -0.56{col 46}{space 3}0.574{col 54}{space 4}-1.711481{col 67}{space 3} .9486645
{txt}{space 8}popm {c |}{col 14}{res}{space 2}-.0878283{col 26}{space 2} .0591239{col 37}{space 1}   -1.49{col 46}{space 3}0.137{col 54}{space 4} -.203709{col 67}{space 3} .0280524
{txt}{space 3}al_ethnic {c |}{col 14}{res}{space 2} 1.714947{col 26}{space 2} 1.277998{col 37}{space 1}    1.34{col 46}{space 3}0.180{col 54}{space 4}-.7898841{col 67}{space 3} 4.219777
{txt}{space 1}al_religion {c |}{col 14}{res}{space 2}-3.433953{col 26}{space 2} 2.246459{col 37}{space 1}   -1.53{col 46}{space 3}0.126{col 54}{space 4}-7.836933{col 67}{space 3} .9690264
{txt}{space 9}age {c |}{col 14}{res}{space 2} .3262225{col 26}{space 2} .1602033{col 37}{space 1}    2.04{col 46}{space 3}0.042{col 54}{space 4} .0122298{col 67}{space 3} .6402153
{txt}{space 8}age2 {c |}{col 14}{res}{space 2}-.0201519{col 26}{space 2} .0105108{col 37}{space 1}   -1.92{col 46}{space 3}0.055{col 54}{space 4}-.0407527{col 67}{space 3}  .000449
{txt}{space 8}age3 {c |}{col 14}{res}{space 2} .0002899{col 26}{space 2} .0001795{col 37}{space 1}    1.61{col 46}{space 3}0.106{col 54}{space 4} -.000062{col 67}{space 3} .0006418
{txt}{space 3}1.legis11 {c |}{col 14}{res}{space 2}-9.458595{col 26}{space 2} 15.23463{col 37}{space 1}   -0.62{col 46}{space 3}0.535{col 54}{space 4}-39.31791{col 67}{space 3} 20.40072
{txt}{space 4}personal {c |}{col 14}{res}{space 2} .4761354{col 26}{space 2} .5394351{col 37}{space 1}    0.88{col 46}{space 3}0.377{col 54}{space 4}-.5811379{col 67}{space 3} 1.533409
{txt}{space 9}p_h {c |}{col 14}{res}{space 2} .9428924{col 26}{space 2} 1.553665{col 37}{space 1}    0.61{col 46}{space 3}0.544{col 54}{space 4}-2.102235{col 67}{space 3} 3.988019
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 5.021649{col 26}{space 2} 13.89958{col 37}{space 1}    0.36{col 46}{space 3}0.718{col 54}{space 4}-22.22103{col 67}{space 3} 32.26433
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}A__D         {txt}{c |}
{space 8}frag {c |}{col 14}{res}{space 2} .0513407{col 26}{space 2}  .877654{col 37}{space 1}    0.06{col 46}{space 3}0.953{col 54}{space 4} -1.66883{col 67}{space 3} 1.771511
{txt}{space 6}unrest {c |}{col 14}{res}{space 2}-.1330168{col 26}{space 2} .1208297{col 37}{space 1}   -1.10{col 46}{space 3}0.271{col 54}{space 4}-.3698387{col 67}{space 3} .1038051
{txt}{space 6}region {c |}{col 14}{res}{space 2} 4.520497{col 26}{space 2} 2.105118{col 37}{space 1}    2.15{col 46}{space 3}0.032{col 54}{space 4} .3945413{col 67}{space 3} 8.646454
{txt}{space 2}e_miinterc {c |}{col 14}{res}{space 2} .3312814{col 26}{space 2} .6258921{col 37}{space 1}    0.53{col 46}{space 3}0.597{col 54}{space 4}-.8954446{col 67}{space 3} 1.558007
{txt}{space 2}e_miinteco {c |}{col 14}{res}{space 2} .8422937{col 26}{space 2} 1.076102{col 37}{space 1}    0.78{col 46}{space 3}0.434{col 54}{space 4}-1.266828{col 67}{space 3} 2.951415
{txt}{space 8}pgdp {c |}{col 14}{res}{space 2} .1267973{col 26}{space 2} .1569532{col 37}{space 1}    0.81{col 46}{space 3}0.419{col 54}{space 4}-.1808254{col 67}{space 3}   .43442
{txt}{space 7}gpgdp {c |}{col 14}{res}{space 2}-12.96672{col 26}{space 2}  5.62978{col 37}{space 1}   -2.30{col 46}{space 3}0.021{col 54}{space 4}-24.00089{col 67}{space 3}-1.932559
{txt}{space 6}oilmin {c |}{col 14}{res}{space 2} .3946282{col 26}{space 2} .7512559{col 37}{space 1}    0.53{col 46}{space 3}0.599{col 54}{space 4}-1.077806{col 67}{space 3} 1.867063
{txt}{space 8}popm {c |}{col 14}{res}{space 2} .0219917{col 26}{space 2}   .01948{col 37}{space 1}    1.13{col 46}{space 3}0.259{col 54}{space 4}-.0161884{col 67}{space 3} .0601718
{txt}{space 3}al_ethnic {c |}{col 14}{res}{space 2} -2.25792{col 26}{space 2} 1.589963{col 37}{space 1}   -1.42{col 46}{space 3}0.156{col 54}{space 4} -5.37419{col 67}{space 3} .8583501
{txt}{space 1}al_religion {c |}{col 14}{res}{space 2} -13.2512{col 26}{space 2} 3.692469{col 37}{space 1}   -3.59{col 46}{space 3}0.000{col 54}{space 4}-20.48831{col 67}{space 3}-6.014096
{txt}{space 9}age {c |}{col 14}{res}{space 2} .3678834{col 26}{space 2} .1791921{col 37}{space 1}    2.05{col 46}{space 3}0.040{col 54}{space 4} .0166733{col 67}{space 3} .7190935
{txt}{space 8}age2 {c |}{col 14}{res}{space 2}-.0202479{col 26}{space 2} .0108125{col 37}{space 1}   -1.87{col 46}{space 3}0.061{col 54}{space 4}  -.04144{col 67}{space 3} .0009443
{txt}{space 8}age3 {c |}{col 14}{res}{space 2} .0002162{col 26}{space 2} .0001462{col 37}{space 1}    1.48{col 46}{space 3}0.139{col 54}{space 4}-.0000703{col 67}{space 3} .0005027
{txt}{space 3}1.legis11 {c |}{col 14}{res}{space 2} 60.75197{col 26}{space 2} 17.13475{col 37}{space 1}    3.55{col 46}{space 3}0.000{col 54}{space 4} 27.16848{col 67}{space 3} 94.33546
{txt}{space 4}personal {c |}{col 14}{res}{space 2} -.652412{col 26}{space 2} .8968766{col 37}{space 1}   -0.73{col 46}{space 3}0.467{col 54}{space 4}-2.410258{col 67}{space 3} 1.105434
{txt}{space 9}p_h {c |}{col 14}{res}{space 2} -6.34033{col 26}{space 2} 1.791722{col 37}{space 1}   -3.54{col 46}{space 3}0.000{col 54}{space 4}-9.852039{col 67}{space 3} -2.82862
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-58.44039{col 26}{space 2} 15.62461{col 37}{space 1}   -3.74{col 46}{space 3}0.000{col 54}{space 4}-89.06406{col 67}{space 3}-27.81673
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.        estimates store A82
{txt}
{com}. 
. * Table A8
. esttab A81 A82 using "TableA8.rtf", cell(b(star fmt (%9.2f)) se(par)) mtitles("End of regime" "A-to-A" "A-to-D") ///
>            uns drop(0: D__A:) ///
>        nobase ///
>        stats(N ll, fmt(%9.0g %9.3f) labels("N" "Log-L"))starlevels(* 0.05 ** 0.01) ///
>            o(p_h 1.legis11 personal $controls ) ///
>            legend label varlabels(_cons Constant) ///
>            title("Table A8. Regime Termination with Dictator's Share as Proxy for Concessions (Svolik)") replace
{res}{txt}{p 0 4 2}
(file {bf}
TableA8.rtf{rm}
not found)
{p_end}
{res}{txt}(output written to {browse  `"TableA8.rtf"'})

{com}. 
. * Table A9: Same as Table 2        
. 
. ***  Tables A10-1 and A10-2: Endogeneity Models Controlling for Contemporary Electoral Systems 
. eststo clear
{txt}
{com}. * Geddes, Wright & Frantz
. ivprobit gwf_democratization $controlsiv $fordicts ef1 (c.enph = $instruments) if a_1 == 1, first
{res}
{txt}Fitting exogenous probit model:
{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-88.072159}  
Iteration 1:{space 2}Log likelihood = {res:-65.557231}  
Iteration 2:{space 2}Log likelihood = {res:-63.656713}  
Iteration 3:{space 2}Log likelihood = {res:-63.590818}  
Iteration 4:{space 2}Log likelihood = {res:-63.590607}  
Iteration 5:{space 2}Log likelihood = {res:-63.590607}  
{res}
{txt}Fitting full model:
{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-496.14154}  
Iteration 1:{space 2}Log likelihood = {res:-495.95587}  
Iteration 2:{space 2}Log likelihood = {res:-495.95578}  
Iteration 3:{space 2}Log likelihood = {res:-495.95578}  

{col 1}Probit model with endogenous regressors{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:401}
{txt}{col 57}{lalign 13:Wald chi2({res:14})}{col 70} = {res}{ralign 6:32.28}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-495.95578}{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0037}

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |} Coefficient{col 27}  Std. err.{col 39}      z{col 47}   P>|z|{col 55}     [95% con{col 68}f. interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}gwf_democra~n {txt}{c |}
{space 9}enph {c |}{col 15}{res}{space 2} .7364271{col 27}{space 2} .3499289{col 38}{space 1}    2.10{col 47}{space 3}0.035{col 55}{space 4}  .050579{col 68}{space 3} 1.422275
{txt}{space 9}frag {c |}{col 15}{res}{space 2}-.3535818{col 27}{space 2} .5525676{col 38}{space 1}   -0.64{col 47}{space 3}0.522{col 55}{space 4}-1.436594{col 68}{space 3} .7294307
{txt}{space 7}region {c |}{col 15}{res}{space 2}-.1350724{col 27}{space 2} .9681421{col 38}{space 1}   -0.14{col 47}{space 3}0.889{col 55}{space 4}-2.032596{col 68}{space 3} 1.762451
{txt}{space 3}e_miinterc {c |}{col 15}{res}{space 2}-.5501959{col 27}{space 2} .3840253{col 38}{space 1}   -1.43{col 47}{space 3}0.152{col 55}{space 4}-1.302872{col 68}{space 3} .2024799
{txt}{space 3}e_miinteco {c |}{col 15}{res}{space 2} .7707683{col 27}{space 2} .6240139{col 38}{space 1}    1.24{col 47}{space 3}0.217{col 55}{space 4}-.4522766{col 68}{space 3} 1.993813
{txt}{space 9}pgdp {c |}{col 15}{res}{space 2} .0053758{col 27}{space 2} .1070985{col 38}{space 1}    0.05{col 47}{space 3}0.960{col 55}{space 4}-.2045334{col 68}{space 3} .2152849
{txt}{space 8}gpgdp {c |}{col 15}{res}{space 2} 1.341369{col 27}{space 2} 2.946868{col 38}{space 1}    0.46{col 47}{space 3}0.649{col 55}{space 4}-4.434386{col 68}{space 3} 7.117124
{txt}{space 7}oilmin {c |}{col 15}{res}{space 2}-.3622426{col 27}{space 2} .5287245{col 38}{space 1}   -0.69{col 47}{space 3}0.493{col 55}{space 4}-1.398524{col 68}{space 3} .6740384
{txt}{space 9}popm {c |}{col 15}{res}{space 2} .0068058{col 27}{space 2} .0072668{col 38}{space 1}    0.94{col 47}{space 3}0.349{col 55}{space 4}-.0074369{col 68}{space 3} .0210484
{txt}{space 4}al_ethnic {c |}{col 15}{res}{space 2}-.4833216{col 27}{space 2} .9505474{col 38}{space 1}   -0.51{col 47}{space 3}0.611{col 55}{space 4} -2.34636{col 68}{space 3} 1.379717
{txt}{space 2}al_religion {c |}{col 15}{res}{space 2}-3.186039{col 27}{space 2} 1.505326{col 38}{space 1}   -2.12{col 47}{space 3}0.034{col 55}{space 4}-6.136425{col 68}{space 3}-.2356538
{txt}{space 4}1.legis11 {c |}{col 15}{res}{space 2}-2.645893{col 27}{space 2} .6635529{col 38}{space 1}   -3.99{col 47}{space 3}0.000{col 55}{space 4}-3.946433{col 68}{space 3}-1.345353
{txt}{space 5}personal {c |}{col 15}{res}{space 2} .3670876{col 27}{space 2}  .390565{col 38}{space 1}    0.94{col 47}{space 3}0.347{col 55}{space 4}-.3984057{col 68}{space 3} 1.132581
{txt}{space 10}ef1 {c |}{col 15}{res}{space 2}-.0352259{col 27}{space 2} .2181669{col 38}{space 1}   -0.16{col 47}{space 3}0.872{col 55}{space 4}-.4628252{col 68}{space 3} .3923734
{txt}{space 8}_cons {c |}{col 15}{res}{space 2} .5303481{col 27}{space 2} .8558611{col 38}{space 1}    0.62{col 47}{space 3}0.535{col 55}{space 4}-1.147109{col 68}{space 3} 2.207805
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}enph          {txt}{c |}
{space 9}frag {c |}{col 15}{res}{space 2} 1.190292{col 27}{space 2} .1181039{col 38}{space 1}   10.08{col 47}{space 3}0.000{col 55}{space 4} .9588123{col 68}{space 3} 1.421771
{txt}{space 7}region {c |}{col 15}{res}{space 2}-.0925267{col 27}{space 2} .2745703{col 38}{space 1}   -0.34{col 47}{space 3}0.736{col 55}{space 4}-.6306745{col 68}{space 3} .4456211
{txt}{space 3}e_miinterc {c |}{col 15}{res}{space 2} .3910388{col 27}{space 2} .0995405{col 38}{space 1}    3.93{col 47}{space 3}0.000{col 55}{space 4} .1959431{col 68}{space 3} .5861345
{txt}{space 3}e_miinteco {c |}{col 15}{res}{space 2} .4906251{col 27}{space 2} .2754646{col 38}{space 1}    1.78{col 47}{space 3}0.075{col 55}{space 4}-.0492756{col 68}{space 3} 1.030526
{txt}{space 9}pgdp {c |}{col 15}{res}{space 2}-.2931727{col 27}{space 2} .0476643{col 38}{space 1}   -6.15{col 47}{space 3}0.000{col 55}{space 4} -.386593{col 68}{space 3}-.1997524
{txt}{space 8}gpgdp {c |}{col 15}{res}{space 2} -.626907{col 27}{space 2} .8481135{col 38}{space 1}   -0.74{col 47}{space 3}0.460{col 55}{space 4}-2.289179{col 68}{space 3} 1.035365
{txt}{space 7}oilmin {c |}{col 15}{res}{space 2}-.3107576{col 27}{space 2} .1924104{col 38}{space 1}   -1.62{col 47}{space 3}0.106{col 55}{space 4} -.687875{col 68}{space 3} .0663598
{txt}{space 9}popm {c |}{col 15}{res}{space 2}-.0012992{col 27}{space 2} .0019921{col 38}{space 1}   -0.65{col 47}{space 3}0.514{col 55}{space 4}-.0052037{col 68}{space 3} .0026053
{txt}{space 4}al_ethnic {c |}{col 15}{res}{space 2} 1.560613{col 27}{space 2} .2914584{col 38}{space 1}    5.35{col 47}{space 3}0.000{col 55}{space 4}  .989365{col 68}{space 3} 2.131861
{txt}{space 2}al_religion {c |}{col 15}{res}{space 2} 2.647148{col 27}{space 2} .5289351{col 38}{space 1}    5.00{col 47}{space 3}0.000{col 55}{space 4} 1.610454{col 68}{space 3} 3.683842
{txt}{space 4}1.legis11 {c |}{col 15}{res}{space 2} 1.843586{col 27}{space 2} .1326582{col 38}{space 1}   13.90{col 47}{space 3}0.000{col 55}{space 4} 1.583581{col 68}{space 3} 2.103591
{txt}{space 5}personal {c |}{col 15}{res}{space 2}-.7089733{col 27}{space 2} .1087924{col 38}{space 1}   -6.52{col 47}{space 3}0.000{col 55}{space 4}-.9222026{col 68}{space 3}-.4957441
{txt}{space 10}ef1 {c |}{col 15}{res}{space 2}-.0410523{col 27}{space 2} .0394457{col 38}{space 1}   -1.04{col 47}{space 3}0.298{col 55}{space 4}-.1183644{col 68}{space 3} .0362598
{txt}{space 6}1.prb45 {c |}{col 15}{res}{space 2} .6600187{col 27}{space 2} .1129839{col 38}{space 1}    5.84{col 47}{space 3}0.000{col 55}{space 4} .4385743{col 68}{space 3} .8814632
{txt}{space 2}adm_pre1945 {c |}{col 15}{res}{space 2} .2222209{col 27}{space 2} .0333694{col 38}{space 1}    6.66{col 47}{space 3}0.000{col 55}{space 4}  .156818{col 68}{space 3} .2876238
{txt}{space 13} {c |}
{space 8}prb45#{c |}
c.adm_pre1945 {c |}
{space 11}1  {c |}{col 15}{res}{space 2}-.2530384{col 27}{space 2} .0370609{col 38}{space 1}   -6.83{col 47}{space 3}0.000{col 55}{space 4}-.3256765{col 68}{space 3}-.1804003
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-1.358666{col 27}{space 2} .2706598{col 38}{space 1}   -5.02{col 47}{space 3}0.000{col 55}{space 4}-1.889149{col 68}{space 3}-.8281824
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}/athrho2_1 {c |}{col 15}{res}{space 2}-.1334032{col 27}{space 2} .2911341{col 38}{space 1}   -0.46{col 47}{space 3}0.647{col 55}{space 4}-.7040155{col 68}{space 3} .4372091
{txt}{space 4}/lnsigma2 {c |}{col 15}{res}{space 2}-.3407195{col 27}{space 2} .0353113{col 38}{space 1}   -9.65{col 47}{space 3}0.000{col 55}{space 4}-.4099283{col 68}{space 3}-.2715106
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
  corr(e.enph,{c |}
e.gwf_democ~n){c |}{col 15}{res}{space 2}-.1326174{col 27}{space 2} .2860138{col 55}{space 4}-.6069104{col 68}{space 3} .4113284
{txt}    sd(e.enph){c |}{col 15}{res}{space 2} .7112584{col 27}{space 2} .0251154{col 55}{space 4} .6636978{col 68}{space 3} .7622272
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Wald test of exogeneity (corr = 0): chi2({res}1{txt}) = {res}0.21{txt}{col 59}Prob > chi2 = {res}0.6468
{txt}{p 0 12 2}Endogenous: {res:enph}{p_end}
{p 0 12 2}Exogenous:{space 1} {res:frag region e_miinterc e_miinteco pgdp gpgdp oilmin popm al_ethnic al_religion 1.legis11 personal ef1 1.prb45 adm_pre1945 1.prb45#c.adm_pre1945}{p_end}

{com}.         estimates store A101
{txt}
{com}. 
. ** CGV
. ivprobit cgv_democratization $controlsiv $fordicts ef1 (c.enph = $instruments) if a_1 == 1, first
{res}
{txt}Fitting exogenous probit model:
{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-106.63165}  
Iteration 1:{space 2}Log likelihood = {res:-71.736426}  
Iteration 2:{space 2}Log likelihood = {res:-67.832782}  
Iteration 3:{space 2}Log likelihood = {res:-67.668089}  
Iteration 4:{space 2}Log likelihood = {res:-67.667465}  
Iteration 5:{space 2}Log likelihood = {res:-67.667465}  
{res}
{txt}Fitting full model:
{res}{txt}Iteration 0:{space 2}Log likelihood = {res: -500.2184}  
Iteration 1:{space 2}Log likelihood = {res:-500.02365}  
Iteration 2:{space 2}Log likelihood = {res:-500.02353}  
Iteration 3:{space 2}Log likelihood = {res:-500.02353}  

{col 1}Probit model with endogenous regressors{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:401}
{txt}{col 57}{lalign 13:Wald chi2({res:14})}{col 70} = {res}{ralign 6:66.04}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-500.02353}{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |} Coefficient{col 27}  Std. err.{col 39}      z{col 47}   P>|z|{col 55}     [95% con{col 68}f. interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}cgv_democra~n {txt}{c |}
{space 9}enph {c |}{col 15}{res}{space 2} 1.025036{col 27}{space 2} .2701701{col 38}{space 1}    3.79{col 47}{space 3}0.000{col 55}{space 4} .4955122{col 68}{space 3}  1.55456
{txt}{space 9}frag {c |}{col 15}{res}{space 2}-.5997784{col 27}{space 2} .5201932{col 38}{space 1}   -1.15{col 47}{space 3}0.249{col 55}{space 4}-1.619338{col 68}{space 3} .4197815
{txt}{space 7}region {c |}{col 15}{res}{space 2} .4309409{col 27}{space 2}   .90572{col 38}{space 1}    0.48{col 47}{space 3}0.634{col 55}{space 4}-1.344238{col 68}{space 3}  2.20612
{txt}{space 3}e_miinterc {c |}{col 15}{res}{space 2}-.0339319{col 27}{space 2} .3313861{col 38}{space 1}   -0.10{col 47}{space 3}0.918{col 55}{space 4}-.6834367{col 68}{space 3} .6155728
{txt}{space 3}e_miinteco {c |}{col 15}{res}{space 2} 1.058661{col 27}{space 2}  .661118{col 38}{space 1}    1.60{col 47}{space 3}0.109{col 55}{space 4}-.2371066{col 68}{space 3} 2.354429
{txt}{space 9}pgdp {c |}{col 15}{res}{space 2} .1603047{col 27}{space 2} .0933846{col 38}{space 1}    1.72{col 47}{space 3}0.086{col 55}{space 4}-.0227258{col 68}{space 3} .3433353
{txt}{space 8}gpgdp {c |}{col 15}{res}{space 2} 1.652921{col 27}{space 2} 2.759446{col 38}{space 1}    0.60{col 47}{space 3}0.549{col 55}{space 4}-3.755494{col 68}{space 3} 7.061337
{txt}{space 7}oilmin {c |}{col 15}{res}{space 2} .3172898{col 27}{space 2} .4091758{col 38}{space 1}    0.78{col 47}{space 3}0.438{col 55}{space 4}  -.48468{col 68}{space 3}  1.11926
{txt}{space 9}popm {c |}{col 15}{res}{space 2} .0051889{col 27}{space 2} .0060463{col 38}{space 1}    0.86{col 47}{space 3}0.391{col 55}{space 4}-.0066616{col 68}{space 3} .0170393
{txt}{space 4}al_ethnic {c |}{col 15}{res}{space 2}-.8986395{col 27}{space 2} .8275404{col 38}{space 1}   -1.09{col 47}{space 3}0.278{col 55}{space 4}-2.520589{col 68}{space 3}   .72331
{txt}{space 2}al_religion {c |}{col 15}{res}{space 2}-2.468337{col 27}{space 2} 1.290258{col 38}{space 1}   -1.91{col 47}{space 3}0.056{col 55}{space 4}-4.997196{col 68}{space 3} .0605228
{txt}{space 4}1.legis11 {c |}{col 15}{res}{space 2}-3.132101{col 27}{space 2} .4717524{col 38}{space 1}   -6.64{col 47}{space 3}0.000{col 55}{space 4}-4.056718{col 68}{space 3}-2.207483
{txt}{space 5}personal {c |}{col 15}{res}{space 2}-.3489213{col 27}{space 2} .4688134{col 38}{space 1}   -0.74{col 47}{space 3}0.457{col 55}{space 4}-1.267779{col 68}{space 3}  .569936
{txt}{space 10}ef1 {c |}{col 15}{res}{space 2} -.100527{col 27}{space 2} .2187791{col 38}{space 1}   -0.46{col 47}{space 3}0.646{col 55}{space 4}-.5293261{col 68}{space 3} .3282721
{txt}{space 8}_cons {c |}{col 15}{res}{space 2} .3064585{col 27}{space 2}  .736415{col 38}{space 1}    0.42{col 47}{space 3}0.677{col 55}{space 4}-1.136888{col 68}{space 3} 1.749805
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}enph          {txt}{c |}
{space 9}frag {c |}{col 15}{res}{space 2} 1.195902{col 27}{space 2} .1178595{col 38}{space 1}   10.15{col 47}{space 3}0.000{col 55}{space 4} .9649018{col 68}{space 3} 1.426903
{txt}{space 7}region {c |}{col 15}{res}{space 2}-.1009991{col 27}{space 2} .2746891{col 38}{space 1}   -0.37{col 47}{space 3}0.713{col 55}{space 4}-.6393797{col 68}{space 3} .4373816
{txt}{space 3}e_miinterc {c |}{col 15}{res}{space 2} .3926393{col 27}{space 2} .0995513{col 38}{space 1}    3.94{col 47}{space 3}0.000{col 55}{space 4} .1975223{col 68}{space 3} .5877563
{txt}{space 3}e_miinteco {c |}{col 15}{res}{space 2} .4887703{col 27}{space 2}  .275469{col 38}{space 1}    1.77{col 47}{space 3}0.076{col 55}{space 4} -.051139{col 68}{space 3}  1.02868
{txt}{space 9}pgdp {c |}{col 15}{res}{space 2}-.2940089{col 27}{space 2} .0474538{col 38}{space 1}   -6.20{col 47}{space 3}0.000{col 55}{space 4}-.3870167{col 68}{space 3}-.2010011
{txt}{space 8}gpgdp {c |}{col 15}{res}{space 2}-.6423518{col 27}{space 2} .8481412{col 38}{space 1}   -0.76{col 47}{space 3}0.449{col 55}{space 4}-2.304678{col 68}{space 3} 1.019975
{txt}{space 7}oilmin {c |}{col 15}{res}{space 2}-.3086141{col 27}{space 2} .1924855{col 38}{space 1}   -1.60{col 47}{space 3}0.109{col 55}{space 4}-.6858787{col 68}{space 3} .0686506
{txt}{space 9}popm {c |}{col 15}{res}{space 2}-.0013595{col 27}{space 2} .0019915{col 38}{space 1}   -0.68{col 47}{space 3}0.495{col 55}{space 4}-.0052628{col 68}{space 3} .0025437
{txt}{space 4}al_ethnic {c |}{col 15}{res}{space 2} 1.544821{col 27}{space 2} .2914133{col 38}{space 1}    5.30{col 47}{space 3}0.000{col 55}{space 4} .9736613{col 68}{space 3} 2.115981
{txt}{space 2}al_religion {c |}{col 15}{res}{space 2} 2.599368{col 27}{space 2} .5285032{col 38}{space 1}    4.92{col 47}{space 3}0.000{col 55}{space 4} 1.563521{col 68}{space 3} 3.635216
{txt}{space 4}1.legis11 {c |}{col 15}{res}{space 2}  1.84431{col 27}{space 2} .1326427{col 38}{space 1}   13.90{col 47}{space 3}0.000{col 55}{space 4} 1.584335{col 68}{space 3} 2.104285
{txt}{space 5}personal {c |}{col 15}{res}{space 2}-.7033655{col 27}{space 2} .1088316{col 38}{space 1}   -6.46{col 47}{space 3}0.000{col 55}{space 4}-.9166716{col 68}{space 3}-.4900594
{txt}{space 10}ef1 {c |}{col 15}{res}{space 2}-.0426084{col 27}{space 2} .0394571{col 38}{space 1}   -1.08{col 47}{space 3}0.280{col 55}{space 4}-.1199428{col 68}{space 3}  .034726
{txt}{space 6}1.prb45 {c |}{col 15}{res}{space 2} .6586879{col 27}{space 2} .1124458{col 38}{space 1}    5.86{col 47}{space 3}0.000{col 55}{space 4} .4382982{col 68}{space 3} .8790776
{txt}{space 2}adm_pre1945 {c |}{col 15}{res}{space 2} .2224717{col 27}{space 2} .0332379{col 38}{space 1}    6.69{col 47}{space 3}0.000{col 55}{space 4} .1573267{col 68}{space 3} .2876167
{txt}{space 13} {c |}
{space 8}prb45#{c |}
c.adm_pre1945 {c |}
{space 11}1  {c |}{col 15}{res}{space 2}-.2516453{col 27}{space 2} .0371826{col 38}{space 1}   -6.77{col 47}{space 3}0.000{col 55}{space 4}-.3245219{col 68}{space 3}-.1787688
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-1.337642{col 27}{space 2} .2712567{col 38}{space 1}   -4.93{col 47}{space 3}0.000{col 55}{space 4}-1.869295{col 68}{space 3}-.8059888
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}/athrho2_1 {c |}{col 15}{res}{space 2}-.4043588{col 27}{space 2} .2859185{col 38}{space 1}   -1.41{col 47}{space 3}0.157{col 55}{space 4}-.9647487{col 68}{space 3} .1560311
{txt}{space 4}/lnsigma2 {c |}{col 15}{res}{space 2}-.3406971{col 27}{space 2} .0353128{col 38}{space 1}   -9.65{col 47}{space 3}0.000{col 55}{space 4} -.409909{col 68}{space 3}-.2714852
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
  corr(e.enph,{c |}
e.cgv_democ~n){c |}{col 15}{res}{space 2}-.3836723{col 27}{space 2}   .24383{col 55}{space 4}-.7463876{col 68}{space 3} .1547771
{txt}    sd(e.enph){c |}{col 15}{res}{space 2} .7112743{col 27}{space 2} .0251171{col 55}{space 4} .6637106{col 68}{space 3} .7622465
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Wald test of exogeneity (corr = 0): chi2({res}1{txt}) = {res}2.00{txt}{col 59}Prob > chi2 = {res}0.1573
{txt}{p 0 12 2}Endogenous: {res:enph}{p_end}
{p 0 12 2}Exogenous:{space 1} {res:frag region e_miinterc e_miinteco pgdp gpgdp oilmin popm al_ethnic al_religion 1.legis11 personal ef1 1.prb45 adm_pre1945 1.prb45#c.adm_pre1945}{p_end}

{com}.         estimates store A102
{txt}
{com}. 
. ** Svolik
. ivprobit sv_democratization $controlsiv $fordicts ef1 (c.enph = $instruments) if a_1 == 1, first
{res}
{txt}Fitting exogenous probit model:
{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-82.378485}  
Iteration 1:{space 2}Log likelihood = {res:-55.957043}  
Iteration 2:{space 2}Log likelihood = {res: -51.54828}  
Iteration 3:{space 2}Log likelihood = {res:-51.156237}  
Iteration 4:{space 2}Log likelihood = {res:-51.151838}  
Iteration 5:{space 2}Log likelihood = {res:-51.151836}  
{res}
{txt}Fitting full model:
{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-483.70277}  
Iteration 1:{space 2}Log likelihood = {res:-483.51721}  
Iteration 2:{space 2}Log likelihood = {res:-483.51712}  
Iteration 3:{space 2}Log likelihood = {res:-483.51712}  

{col 1}Probit model with endogenous regressors{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:401}
{txt}{col 57}{lalign 13:Wald chi2({res:14})}{col 70} = {res}{ralign 6:27.75}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-483.51712}{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0153}

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |} Coefficient{col 27}  Std. err.{col 39}      z{col 47}   P>|z|{col 55}     [95% con{col 68}f. interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}sv_democrat~n {txt}{c |}
{space 9}enph {c |}{col 15}{res}{space 2} .4227752{col 27}{space 2} .4421433{col 38}{space 1}    0.96{col 47}{space 3}0.339{col 55}{space 4}-.4438098{col 68}{space 3}  1.28936
{txt}{space 9}frag {c |}{col 15}{res}{space 2} .2152847{col 27}{space 2} .6802699{col 38}{space 1}    0.32{col 47}{space 3}0.752{col 55}{space 4} -1.11802{col 68}{space 3} 1.548589
{txt}{space 7}region {c |}{col 15}{res}{space 2}-.2933425{col 27}{space 2} 1.161932{col 38}{space 1}   -0.25{col 47}{space 3}0.801{col 55}{space 4}-2.570687{col 68}{space 3} 1.984002
{txt}{space 3}e_miinterc {c |}{col 15}{res}{space 2} .0935605{col 27}{space 2} .4081887{col 38}{space 1}    0.23{col 47}{space 3}0.819{col 55}{space 4}-.7064747{col 68}{space 3} .8935958
{txt}{space 3}e_miinteco {c |}{col 15}{res}{space 2} .6437134{col 27}{space 2} .7414355{col 38}{space 1}    0.87{col 47}{space 3}0.385{col 55}{space 4}-.8094734{col 68}{space 3}   2.0969
{txt}{space 9}pgdp {c |}{col 15}{res}{space 2} .2857424{col 27}{space 2} .1078464{col 38}{space 1}    2.65{col 47}{space 3}0.008{col 55}{space 4} .0743674{col 68}{space 3} .4971174
{txt}{space 8}gpgdp {c |}{col 15}{res}{space 2}-6.874548{col 27}{space 2} 3.341647{col 38}{space 1}   -2.06{col 47}{space 3}0.040{col 55}{space 4}-13.42406{col 68}{space 3}-.3250394
{txt}{space 7}oilmin {c |}{col 15}{res}{space 2} .1109795{col 27}{space 2} .4661257{col 38}{space 1}    0.24{col 47}{space 3}0.812{col 55}{space 4}  -.80261{col 68}{space 3} 1.024569
{txt}{space 9}popm {c |}{col 15}{res}{space 2}-.0195816{col 27}{space 2} .0138796{col 38}{space 1}   -1.41{col 47}{space 3}0.158{col 55}{space 4}-.0467851{col 68}{space 3} .0076219
{txt}{space 4}al_ethnic {c |}{col 15}{res}{space 2}-.5277964{col 27}{space 2} 1.103615{col 38}{space 1}   -0.48{col 47}{space 3}0.632{col 55}{space 4}-2.690841{col 68}{space 3} 1.635248
{txt}{space 2}al_religion {c |}{col 15}{res}{space 2}-4.739213{col 27}{space 2} 2.122239{col 38}{space 1}   -2.23{col 47}{space 3}0.026{col 55}{space 4}-8.898726{col 68}{space 3}-.5797006
{txt}{space 4}1.legis11 {c |}{col 15}{res}{space 2}-1.664573{col 27}{space 2} .8678406{col 38}{space 1}   -1.92{col 47}{space 3}0.055{col 55}{space 4} -3.36551{col 68}{space 3} .0363629
{txt}{space 5}personal {c |}{col 15}{res}{space 2}-.0935783{col 27}{space 2} .4751688{col 38}{space 1}   -0.20{col 47}{space 3}0.844{col 55}{space 4}-1.024892{col 68}{space 3} .8377353
{txt}{space 10}ef1 {c |}{col 15}{res}{space 2} .0128639{col 27}{space 2} .2355823{col 38}{space 1}    0.05{col 47}{space 3}0.956{col 55}{space 4}-.4488688{col 68}{space 3} .4745967
{txt}{space 8}_cons {c |}{col 15}{res}{space 2} .0998217{col 27}{space 2} .8204739{col 38}{space 1}    0.12{col 47}{space 3}0.903{col 55}{space 4}-1.508278{col 68}{space 3} 1.707921
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}enph          {txt}{c |}
{space 9}frag {c |}{col 15}{res}{space 2} 1.190716{col 27}{space 2} .1181077{col 38}{space 1}   10.08{col 47}{space 3}0.000{col 55}{space 4} .9592291{col 68}{space 3} 1.422203
{txt}{space 7}region {c |}{col 15}{res}{space 2} -.092261{col 27}{space 2} .2745723{col 38}{space 1}   -0.34{col 47}{space 3}0.737{col 55}{space 4}-.6304127{col 68}{space 3} .4458907
{txt}{space 3}e_miinterc {c |}{col 15}{res}{space 2} .3906895{col 27}{space 2}  .099537{col 38}{space 1}    3.93{col 47}{space 3}0.000{col 55}{space 4} .1956005{col 68}{space 3} .5857786
{txt}{space 3}e_miinteco {c |}{col 15}{res}{space 2} .4910916{col 27}{space 2} .2754639{col 38}{space 1}    1.78{col 47}{space 3}0.075{col 55}{space 4}-.0488078{col 68}{space 3} 1.030991
{txt}{space 9}pgdp {c |}{col 15}{res}{space 2}-.2940534{col 27}{space 2}  .047586{col 38}{space 1}   -6.18{col 47}{space 3}0.000{col 55}{space 4}-.3873202{col 68}{space 3}-.2007867
{txt}{space 8}gpgdp {c |}{col 15}{res}{space 2} -.623566{col 27}{space 2} .8480957{col 38}{space 1}   -0.74{col 47}{space 3}0.462{col 55}{space 4}-2.285803{col 68}{space 3} 1.038671
{txt}{space 7}oilmin {c |}{col 15}{res}{space 2}-.3117056{col 27}{space 2} .1923694{col 38}{space 1}   -1.62{col 47}{space 3}0.105{col 55}{space 4}-.6887428{col 68}{space 3} .0653315
{txt}{space 9}popm {c |}{col 15}{res}{space 2}-.0013105{col 27}{space 2} .0019924{col 38}{space 1}   -0.66{col 47}{space 3}0.511{col 55}{space 4}-.0052156{col 68}{space 3} .0025945
{txt}{space 4}al_ethnic {c |}{col 15}{res}{space 2}  1.56693{col 27}{space 2} .2912171{col 38}{space 1}    5.38{col 47}{space 3}0.000{col 55}{space 4} .9961555{col 68}{space 3} 2.137705
{txt}{space 2}al_religion {c |}{col 15}{res}{space 2} 2.656375{col 27}{space 2} .5288449{col 38}{space 1}    5.02{col 47}{space 3}0.000{col 55}{space 4} 1.619858{col 68}{space 3} 3.692892
{txt}{space 4}1.legis11 {c |}{col 15}{res}{space 2} 1.843325{col 27}{space 2} .1326643{col 38}{space 1}   13.89{col 47}{space 3}0.000{col 55}{space 4} 1.583307{col 68}{space 3} 2.103342
{txt}{space 5}personal {c |}{col 15}{res}{space 2} -.710552{col 27}{space 2} .1087495{col 38}{space 1}   -6.53{col 47}{space 3}0.000{col 55}{space 4}-.9236971{col 68}{space 3} -.497407
{txt}{space 10}ef1 {c |}{col 15}{res}{space 2}-.0405207{col 27}{space 2} .0394302{col 38}{space 1}   -1.03{col 47}{space 3}0.304{col 55}{space 4}-.1178024{col 68}{space 3}  .036761
{txt}{space 6}1.prb45 {c |}{col 15}{res}{space 2} .6568719{col 27}{space 2} .1131807{col 38}{space 1}    5.80{col 47}{space 3}0.000{col 55}{space 4} .4350417{col 68}{space 3}  .878702
{txt}{space 2}adm_pre1945 {c |}{col 15}{res}{space 2} .2229019{col 27}{space 2} .0332719{col 38}{space 1}    6.70{col 47}{space 3}0.000{col 55}{space 4} .1576901{col 68}{space 3} .2881136
{txt}{space 13} {c |}
{space 8}prb45#{c |}
c.adm_pre1945 {c |}
{space 11}1  {c |}{col 15}{res}{space 2}-.2537335{col 27}{space 2} .0369695{col 38}{space 1}   -6.86{col 47}{space 3}0.000{col 55}{space 4}-.3261924{col 68}{space 3}-.1812746
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-1.361893{col 27}{space 2} .2705318{col 38}{space 1}   -5.03{col 47}{space 3}0.000{col 55}{space 4}-1.892126{col 68}{space 3}-.8316605
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}/athrho2_1 {c |}{col 15}{res}{space 2} .1485805{col 27}{space 2} .3220451{col 38}{space 1}    0.46{col 47}{space 3}0.645{col 55}{space 4}-.4826163{col 68}{space 3} .7797773
{txt}{space 4}/lnsigma2 {c |}{col 15}{res}{space 2}-.3407198{col 27}{space 2} .0353113{col 38}{space 1}   -9.65{col 47}{space 3}0.000{col 55}{space 4}-.4099286{col 68}{space 3} -.271511
{txt}{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
  corr(e.enph,{c |}
e.sv_democr~n){c |}{col 15}{res}{space 2} .1474967{col 27}{space 2} .3150389{col 55}{space 4}-.4483365{col 68}{space 3} .6525789
{txt}    sd(e.enph){c |}{col 15}{res}{space 2} .7112582{col 27}{space 2} .0251154{col 55}{space 4} .6636977{col 68}{space 3} .7622269
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Wald test of exogeneity (corr = 0): chi2({res}1{txt}) = {res}0.21{txt}{col 59}Prob > chi2 = {res}0.6445
{txt}{p 0 12 2}Endogenous: {res:enph}{p_end}
{p 0 12 2}Exogenous:{space 1} {res:frag region e_miinterc e_miinteco pgdp gpgdp oilmin popm al_ethnic al_religion 1.legis11 personal ef1 1.prb45 adm_pre1945 1.prb45#c.adm_pre1945}{p_end}

{com}.         estimates store A103
{txt}
{com}. 
. * Export table
. esttab A101 A102 A103 using "TableA10.rtf", ///
>         cell(b(star fmt(%9.2f)) se(par)) ///
>         mtitles(GWF CGV Svolik) nobase ///
>         drop(athrho2_1 lnsigma2) ///
>         stats(N ll, fmt(%9.0g %9.3f %9.2f %9.2f) ///
>         labels("N" "Log-L" "First-stage F" "Sargan J")) ///
>         starlevels(* 0.05 ** 0.01) ///
>         o(enph 1.legis11 personal $controlsiv) ///
>         legend label varlabels(_cons Constant) ///
>         title("Table A10. Endogeneity Models Controlling for Contemporary Electoral Systems") ///
>         replace
{res}{txt}{p 0 4 2}
(file {bf}
TableA10.rtf{rm}
not found)
{p_end}
{res}{txt}(output written to {browse  `"TableA10.rtf"'})

{com}.    
. 
. ** A11: Controlling for previous instability
. eststo clear
{txt}
{com}. * GWF measure
. * Correct age
. replace age  = age_gwf
{txt}(522 real changes made)

{com}. replace age2 = age2_gwf
{txt}(522 real changes made)

{com}. replace age3 = age3_gwf
{txt}(522 real changes made)

{com}. 
. logit gwf_democratization   $controls $fordicts polinst_gwf c.enph      if a_1 == 1

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-108.25445}  
Iteration 1:{space 2}Log likelihood = {res:-91.405265}  
Iteration 2:{space 2}Log likelihood = {res:-85.093453}  
Iteration 3:{space 2}Log likelihood = {res:-84.538924}  
Iteration 4:{space 2}Log likelihood = {res:-84.524922}  
Iteration 5:{space 2}Log likelihood = {res:-84.524675}  
Iteration 6:{space 2}Log likelihood = {res:-84.524675}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:561}
{txt}{col 57}{lalign 13:LR chi2({res:18})}{col 70} = {res}{ralign 6:47.46}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0002}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-84.524675}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.2192}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}gwf_democr~n{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}frag {c |}{col 14}{res}{space 2}-.3904461{col 26}{space 2} .8232564{col 37}{space 1}   -0.47{col 46}{space 3}0.635{col 54}{space 4}-2.003999{col 67}{space 3} 1.223107
{txt}{space 6}unrest {c |}{col 14}{res}{space 2} .0323822{col 26}{space 2} .0601956{col 37}{space 1}    0.54{col 46}{space 3}0.591{col 54}{space 4}-.0855989{col 67}{space 3} .1503634
{txt}{space 6}region {c |}{col 14}{res}{space 2} 3.981761{col 26}{space 2} 1.811242{col 37}{space 1}    2.20{col 46}{space 3}0.028{col 54}{space 4} .4317923{col 67}{space 3}  7.53173
{txt}{space 2}e_miinterc {c |}{col 14}{res}{space 2}-.1915261{col 26}{space 2} .5838407{col 37}{space 1}   -0.33{col 46}{space 3}0.743{col 54}{space 4}-1.335833{col 67}{space 3} .9527805
{txt}{space 2}e_miinteco {c |}{col 14}{res}{space 2} 1.751245{col 26}{space 2} .9093785{col 37}{space 1}    1.93{col 46}{space 3}0.054{col 54}{space 4}-.0311039{col 67}{space 3} 3.533594
{txt}{space 8}pgdp {c |}{col 14}{res}{space 2}-.0235314{col 26}{space 2} .1507782{col 37}{space 1}   -0.16{col 46}{space 3}0.876{col 54}{space 4}-.3190512{col 67}{space 3} .2719885
{txt}{space 7}gpgdp {c |}{col 14}{res}{space 2}  3.63237{col 26}{space 2} 5.146586{col 37}{space 1}    0.71{col 46}{space 3}0.480{col 54}{space 4}-6.454753{col 67}{space 3} 13.71949
{txt}{space 6}oilmin {c |}{col 14}{res}{space 2}-.0873686{col 26}{space 2} .6558655{col 37}{space 1}   -0.13{col 46}{space 3}0.894{col 54}{space 4}-1.372841{col 67}{space 3} 1.198104
{txt}{space 8}popm {c |}{col 14}{res}{space 2} .0215814{col 26}{space 2} .0132456{col 37}{space 1}    1.63{col 46}{space 3}0.103{col 54}{space 4}-.0043794{col 67}{space 3} .0475422
{txt}{space 3}al_ethnic {c |}{col 14}{res}{space 2} -.986918{col 26}{space 2} 1.321641{col 37}{space 1}   -0.75{col 46}{space 3}0.455{col 54}{space 4}-3.577287{col 67}{space 3} 1.603451
{txt}{space 1}al_religion {c |}{col 14}{res}{space 2}-8.117591{col 26}{space 2} 2.611975{col 37}{space 1}   -3.11{col 46}{space 3}0.002{col 54}{space 4}-13.23697{col 67}{space 3}-2.998215
{txt}{space 9}age {c |}{col 14}{res}{space 2}  .232852{col 26}{space 2}   .14671{col 37}{space 1}    1.59{col 46}{space 3}0.112{col 54}{space 4}-.0546943{col 67}{space 3} .5203984
{txt}{space 8}age2 {c |}{col 14}{res}{space 2}-.0112332{col 26}{space 2} .0087167{col 37}{space 1}   -1.29{col 46}{space 3}0.198{col 54}{space 4}-.0283176{col 67}{space 3} .0058512
{txt}{space 8}age3 {c |}{col 14}{res}{space 2} .0001012{col 26}{space 2} .0001347{col 37}{space 1}    0.75{col 46}{space 3}0.452{col 54}{space 4}-.0001628{col 67}{space 3} .0003652
{txt}{space 3}1.legis11 {c |}{col 14}{res}{space 2}-2.500298{col 26}{space 2} .8862427{col 37}{space 1}   -2.82{col 46}{space 3}0.005{col 54}{space 4}-4.237301{col 67}{space 3}-.7632938
{txt}{space 4}personal {c |}{col 14}{res}{space 2}-.1704439{col 26}{space 2} .7190993{col 37}{space 1}   -0.24{col 46}{space 3}0.813{col 54}{space 4}-1.579853{col 67}{space 3} 1.238965
{txt}{space 1}polinst_gwf {c |}{col 14}{res}{space 2} .0209319{col 26}{space 2} .0966404{col 37}{space 1}    0.22{col 46}{space 3}0.829{col 54}{space 4}-.1684798{col 67}{space 3} .2103436
{txt}{space 8}enph {c |}{col 14}{res}{space 2} 1.010322{col 26}{space 2} .2793323{col 37}{space 1}    3.62{col 46}{space 3}0.000{col 54}{space 4}  .462841{col 67}{space 3} 1.557803
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-2.413139{col 26}{space 2}  1.29182{col 37}{space 1}   -1.87{col 46}{space 3}0.062{col 54}{space 4}-4.945059{col 67}{space 3} .1187822
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.        estimates store A111
{txt}
{com}.            
. * CGV measure
. replace age  = age_cgv
{txt}(534 real changes made)

{com}. replace age2 = age2_cgv
{txt}(534 real changes made)

{com}. replace age3 = age3_cgv
{txt}(534 real changes made)

{com}. 
. logit cgv_democratization  $controls $fordicts polinst_cgv c.enph               if a_1 == 1

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:  -122.717}  
Iteration 1:{space 2}Log likelihood = {res:-113.82197}  
Iteration 2:{space 2}Log likelihood = {res:-94.890843}  
Iteration 3:{space 2}Log likelihood = {res:-92.456063}  
Iteration 4:{space 2}Log likelihood = {res:-92.327026}  
Iteration 5:{space 2}Log likelihood = {res:-92.326762}  
Iteration 6:{space 2}Log likelihood = {res:-92.326762}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:561}
{txt}{col 57}{lalign 13:LR chi2({res:18})}{col 70} = {res}{ralign 6:60.78}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-92.326762}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.2476}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}cgv_democr~n{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}frag {c |}{col 14}{res}{space 2}-.4851102{col 26}{space 2} .7316377{col 37}{space 1}   -0.66{col 46}{space 3}0.507{col 54}{space 4}-1.919094{col 67}{space 3} .9488734
{txt}{space 6}unrest {c |}{col 14}{res}{space 2} -.069952{col 26}{space 2} .0838315{col 37}{space 1}   -0.83{col 46}{space 3}0.404{col 54}{space 4}-.2342587{col 67}{space 3} .0943547
{txt}{space 6}region {c |}{col 14}{res}{space 2} 3.947571{col 26}{space 2} 1.651846{col 37}{space 1}    2.39{col 46}{space 3}0.017{col 54}{space 4} .7100132{col 67}{space 3} 7.185129
{txt}{space 2}e_miinterc {c |}{col 14}{res}{space 2} .8827985{col 26}{space 2} .4740274{col 37}{space 1}    1.86{col 46}{space 3}0.063{col 54}{space 4}-.0462782{col 67}{space 3} 1.811875
{txt}{space 2}e_miinteco {c |}{col 14}{res}{space 2} 2.557452{col 26}{space 2} .9806408{col 37}{space 1}    2.61{col 46}{space 3}0.009{col 54}{space 4} .6354315{col 67}{space 3} 4.479473
{txt}{space 8}pgdp {c |}{col 14}{res}{space 2} .1004873{col 26}{space 2} .1362584{col 37}{space 1}    0.74{col 46}{space 3}0.461{col 54}{space 4}-.1665742{col 67}{space 3} .3675488
{txt}{space 7}gpgdp {c |}{col 14}{res}{space 2} 3.056243{col 26}{space 2} 4.765014{col 37}{space 1}    0.64{col 46}{space 3}0.521{col 54}{space 4}-6.283012{col 67}{space 3}  12.3955
{txt}{space 6}oilmin {c |}{col 14}{res}{space 2}-.4779344{col 26}{space 2} .6287262{col 37}{space 1}   -0.76{col 46}{space 3}0.447{col 54}{space 4}-1.710215{col 67}{space 3} .7543463
{txt}{space 8}popm {c |}{col 14}{res}{space 2} .0135941{col 26}{space 2} .0120269{col 37}{space 1}    1.13{col 46}{space 3}0.258{col 54}{space 4}-.0099783{col 67}{space 3} .0371664
{txt}{space 3}al_ethnic {c |}{col 14}{res}{space 2}-.3970698{col 26}{space 2} 1.221081{col 37}{space 1}   -0.33{col 46}{space 3}0.745{col 54}{space 4}-2.790345{col 67}{space 3} 1.996205
{txt}{space 1}al_religion {c |}{col 14}{res}{space 2}-6.337344{col 26}{space 2} 2.193317{col 37}{space 1}   -2.89{col 46}{space 3}0.004{col 54}{space 4}-10.63617{col 67}{space 3}-2.038523
{txt}{space 9}age {c |}{col 14}{res}{space 2} .2780749{col 26}{space 2} .1623257{col 37}{space 1}    1.71{col 46}{space 3}0.087{col 54}{space 4}-.0400776{col 67}{space 3} .5962274
{txt}{space 8}age2 {c |}{col 14}{res}{space 2} -.016043{col 26}{space 2} .0107088{col 37}{space 1}   -1.50{col 46}{space 3}0.134{col 54}{space 4}-.0370318{col 67}{space 3} .0049458
{txt}{space 8}age3 {c |}{col 14}{res}{space 2} .0002072{col 26}{space 2} .0001792{col 37}{space 1}    1.16{col 46}{space 3}0.247{col 54}{space 4} -.000144{col 67}{space 3} .0005584
{txt}{space 3}1.legis11 {c |}{col 14}{res}{space 2}-3.646627{col 26}{space 2}  .913266{col 37}{space 1}   -3.99{col 46}{space 3}0.000{col 54}{space 4}-5.436595{col 67}{space 3}-1.856658
{txt}{space 4}personal {c |}{col 14}{res}{space 2}-1.790739{col 26}{space 2} .9238514{col 37}{space 1}   -1.94{col 46}{space 3}0.053{col 54}{space 4}-3.601455{col 67}{space 3} .0199764
{txt}{space 1}polinst_cgv {c |}{col 14}{res}{space 2}-.2092484{col 26}{space 2} .1184976{col 37}{space 1}   -1.77{col 46}{space 3}0.077{col 54}{space 4}-.4414993{col 67}{space 3} .0230026
{txt}{space 8}enph {c |}{col 14}{res}{space 2} 1.226333{col 26}{space 2}  .275889{col 37}{space 1}    4.45{col 46}{space 3}0.000{col 54}{space 4} .6856005{col 67}{space 3} 1.767065
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-2.234193{col 26}{space 2} 1.199293{col 37}{space 1}   -1.86{col 46}{space 3}0.062{col 54}{space 4}-4.584764{col 67}{space 3} .1163777
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.        estimates store A112
{txt}
{com}. * Svolik measure
. replace age  = age_sv
{txt}(499 real changes made)

{com}. replace age2 = age2_sv
{txt}(499 real changes made)

{com}. replace age3 = age3_sv
{txt}(499 real changes made)

{com}. 
. logit sv_democratization $controls $fordicts polinst_sv c.enph         if a_1 == 1

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-95.989156}  
Iteration 1:{space 2}Log likelihood = {res:-75.486004}  
Iteration 2:{space 2}Log likelihood = {res:-66.113218}  
Iteration 3:{space 2}Log likelihood = {res:-65.360803}  
Iteration 4:{space 2}Log likelihood = {res:-65.341407}  
Iteration 5:{space 2}Log likelihood = {res:-65.341255}  
Iteration 6:{space 2}Log likelihood = {res:-65.341255}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:561}
{txt}{col 57}{lalign 13:LR chi2({res:18})}{col 70} = {res}{ralign 6:61.30}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-65.341255}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.3193}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}sv_democra~n{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}frag {c |}{col 14}{res}{space 2}-.1670342{col 26}{space 2} .9730258{col 37}{space 1}   -0.17{col 46}{space 3}0.864{col 54}{space 4} -2.07413{col 67}{space 3} 1.740061
{txt}{space 6}unrest {c |}{col 14}{res}{space 2} -.101531{col 26}{space 2} .1151905{col 37}{space 1}   -0.88{col 46}{space 3}0.378{col 54}{space 4}-.3273003{col 67}{space 3} .1242383
{txt}{space 6}region {c |}{col 14}{res}{space 2} 5.471991{col 26}{space 2} 2.224185{col 37}{space 1}    2.46{col 46}{space 3}0.014{col 54}{space 4} 1.112669{col 67}{space 3} 9.831313
{txt}{space 2}e_miinterc {c |}{col 14}{res}{space 2} .2519718{col 26}{space 2} .6116239{col 37}{space 1}    0.41{col 46}{space 3}0.680{col 54}{space 4}-.9467891{col 67}{space 3} 1.450733
{txt}{space 2}e_miinteco {c |}{col 14}{res}{space 2} 1.227179{col 26}{space 2} 1.087591{col 37}{space 1}    1.13{col 46}{space 3}0.259{col 54}{space 4}-.9044599{col 67}{space 3} 3.358818
{txt}{space 8}pgdp {c |}{col 14}{res}{space 2} .2389866{col 26}{space 2}  .158397{col 37}{space 1}    1.51{col 46}{space 3}0.131{col 54}{space 4}-.0714657{col 67}{space 3}  .549439
{txt}{space 7}gpgdp {c |}{col 14}{res}{space 2}-8.571333{col 26}{space 2} 5.664126{col 37}{space 1}   -1.51{col 46}{space 3}0.130{col 54}{space 4}-19.67282{col 67}{space 3} 2.530149
{txt}{space 6}oilmin {c |}{col 14}{res}{space 2}-.0714352{col 26}{space 2}  .730107{col 37}{space 1}   -0.10{col 46}{space 3}0.922{col 54}{space 4}-1.502419{col 67}{space 3} 1.359548
{txt}{space 8}popm {c |}{col 14}{res}{space 2} .0166093{col 26}{space 2} .0228377{col 37}{space 1}    0.73{col 46}{space 3}0.467{col 54}{space 4}-.0281517{col 67}{space 3} .0613704
{txt}{space 3}al_ethnic {c |}{col 14}{res}{space 2}-1.090573{col 26}{space 2}   1.4626{col 37}{space 1}   -0.75{col 46}{space 3}0.456{col 54}{space 4}-3.957216{col 67}{space 3} 1.776069
{txt}{space 1}al_religion {c |}{col 14}{res}{space 2}-12.44146{col 26}{space 2} 3.551542{col 37}{space 1}   -3.50{col 46}{space 3}0.000{col 54}{space 4}-19.40236{col 67}{space 3}-5.480567
{txt}{space 9}age {c |}{col 14}{res}{space 2} .4183889{col 26}{space 2} .1782108{col 37}{space 1}    2.35{col 46}{space 3}0.019{col 54}{space 4} .0691022{col 67}{space 3} .7676757
{txt}{space 8}age2 {c |}{col 14}{res}{space 2}-.0213228{col 26}{space 2} .0103391{col 37}{space 1}   -2.06{col 46}{space 3}0.039{col 54}{space 4}-.0415872{col 67}{space 3}-.0010585
{txt}{space 8}age3 {c |}{col 14}{res}{space 2} .0002175{col 26}{space 2} .0001422{col 37}{space 1}    1.53{col 46}{space 3}0.126{col 54}{space 4}-.0000611{col 67}{space 3} .0004962
{txt}{space 3}1.legis11 {c |}{col 14}{res}{space 2}-2.728774{col 26}{space 2}   .98313{col 37}{space 1}   -2.78{col 46}{space 3}0.006{col 54}{space 4}-4.655674{col 67}{space 3}-.8018749
{txt}{space 4}personal {c |}{col 14}{res}{space 2}-.9514078{col 26}{space 2} .8847033{col 37}{space 1}   -1.08{col 46}{space 3}0.282{col 54}{space 4}-2.685394{col 67}{space 3} .7825789
{txt}{space 2}polinst_sv {c |}{col 14}{res}{space 2}-.0757584{col 26}{space 2} .1365027{col 37}{space 1}   -0.55{col 46}{space 3}0.579{col 54}{space 4}-.3432988{col 67}{space 3} .1917819
{txt}{space 8}enph {c |}{col 14}{res}{space 2} 1.130445{col 26}{space 2} .3252799{col 37}{space 1}    3.48{col 46}{space 3}0.001{col 54}{space 4} .4929077{col 67}{space 3} 1.767982
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-2.662452{col 26}{space 2} 1.525571{col 37}{space 1}   -1.75{col 46}{space 3}0.081{col 54}{space 4}-5.652516{col 67}{space 3} .3276129
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.        estimates store A113
{txt}
{com}. 
. * Table A11 - Controlling for Instability
. esttab A111 A112 A113 using "Table11.rtf", cell(b(star fmt (%9.2f)) se(par)) mtitles(GWF CGV Svolik) ///
>        stats(N ll, fmt(%9.0g %9.3f) labels("N" "Log-L"))starlevels(* 0.05 ** 0.01) ///
>            o(enph 1.legis11 polinst_* personal $controls ) ///
>            legend label varlabels(_cons Constant) drop(0.legis11) ///
>            title("Table A11. Regime Termination, Controlling for Political Instability")  replace
{res}{txt}{p 0 4 2}
(file {bf}
Table11.rtf{rm}
not found)
{p_end}
{res}{txt}(output written to {browse  `"Table11.rtf"'})

{com}.            
.            
. ************* Table A12: Fixed Effects, End of Regime Models
. eststo clear
{txt}
{com}. ** GWF
. * Correct age
. replace age  = age_gwf
{txt}(522 real changes made)

{com}. replace age2 = age2_gwf
{txt}(522 real changes made)

{com}. replace age3 = age3_gwf
{txt}(522 real changes made)

{com}. * Country FE
. xtlogit end1_gwf  $controlsFE age2 age3 age c.enph           if a_1 == 1, fe
{txt}note: multiple positive outcomes within groups encountered.
note: 2 groups (45 obs) omitted because of all positive or
      all negative outcomes.
{res}
{txt}Iteration 0:{space 2}Log likelihood = {res:-133.69802}  
Iteration 1:{space 2}Log likelihood = {res:-123.51387}  
Iteration 2:{space 2}Log likelihood = {res:-123.18527}  
Iteration 3:{space 2}Log likelihood = {res:-123.18181}  
Iteration 4:{space 2}Log likelihood = {res:-123.18181}  
{res}
{txt}{col 1}Conditional fixed-effects logistic regression{col 54}{lalign 16:Number of obs}{col 70} = {res}{ralign 6:529}
{txt}{col 1}{txt}Group variable: {res}cowcode{txt}{col 54}{lalign 16:Number of groups}{col 70} = {res}{ralign 6:18}

{txt}{col 54}Obs per group:
{col 54}{ralign 16:min}{col 70} = {res}{ralign 6:9}
{txt}{col 54}{ralign 16:avg}{col 70} = {res}{ralign 6:29.4}
{txt}{col 54}{ralign 16:max}{col 70} = {res}{ralign 6:55}

{txt}{col 54}{lalign 16:LR chi2({res:14})}{col 70} = {res}{ralign 6:56.02}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-123.18181}{txt}{col 54}{lalign 16:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    end1_gwf{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}1.legis11 {c |}{col 14}{res}{space 2}-1.010206{col 26}{space 2} .6596674{col 37}{space 1}   -1.53{col 46}{space 3}0.126{col 54}{space 4}-2.303131{col 67}{space 3}  .282718
{txt}{space 8}frag {c |}{col 14}{res}{space 2} -.265827{col 26}{space 2} .5837394{col 37}{space 1}   -0.46{col 46}{space 3}0.649{col 54}{space 4}-1.409935{col 67}{space 3} .8782813
{txt}{space 6}unrest {c |}{col 14}{res}{space 2} .0790429{col 26}{space 2} .0489005{col 37}{space 1}    1.62{col 46}{space 3}0.106{col 54}{space 4}-.0168004{col 67}{space 3} .1748861
{txt}{space 4}personal {c |}{col 14}{res}{space 2} -.376908{col 26}{space 2} .4901133{col 37}{space 1}   -0.77{col 46}{space 3}0.442{col 54}{space 4}-1.337512{col 67}{space 3} .5836965
{txt}{space 2}e_miinterc {c |}{col 14}{res}{space 2}  1.94682{col 26}{space 2} .4876256{col 37}{space 1}    3.99{col 46}{space 3}0.000{col 54}{space 4}  .991091{col 67}{space 3} 2.902548
{txt}{space 2}e_miinteco {c |}{col 14}{res}{space 2} .9926819{col 26}{space 2}  .906774{col 37}{space 1}    1.09{col 46}{space 3}0.274{col 54}{space 4}-.7845625{col 67}{space 3} 2.769926
{txt}{space 8}pgdp {c |}{col 14}{res}{space 2}-1.283297{col 26}{space 2} .4381232{col 37}{space 1}   -2.93{col 46}{space 3}0.003{col 54}{space 4}-2.142003{col 67}{space 3}-.4245911
{txt}{space 7}gpgdp {c |}{col 14}{res}{space 2}-3.465749{col 26}{space 2} 3.021299{col 37}{space 1}   -1.15{col 46}{space 3}0.251{col 54}{space 4}-9.387386{col 67}{space 3} 2.455887
{txt}{space 6}oilmin {c |}{col 14}{res}{space 2}-1.842437{col 26}{space 2}  1.29686{col 37}{space 1}   -1.42{col 46}{space 3}0.155{col 54}{space 4}-4.384237{col 67}{space 3} .6993622
{txt}{space 8}popm {c |}{col 14}{res}{space 2} .0915095{col 26}{space 2}  .063869{col 37}{space 1}    1.43{col 46}{space 3}0.152{col 54}{space 4}-.0336715{col 67}{space 3} .2166905
{txt}{space 8}age2 {c |}{col 14}{res}{space 2}-.0192377{col 26}{space 2} .0078713{col 37}{space 1}   -2.44{col 46}{space 3}0.015{col 54}{space 4}-.0346652{col 67}{space 3}-.0038103
{txt}{space 8}age3 {c |}{col 14}{res}{space 2} .0002912{col 26}{space 2} .0001308{col 37}{space 1}    2.23{col 46}{space 3}0.026{col 54}{space 4} .0000349{col 67}{space 3} .0005476
{txt}{space 9}age {c |}{col 14}{res}{space 2} .3278795{col 26}{space 2} .1232354{col 37}{space 1}    2.66{col 46}{space 3}0.008{col 54}{space 4} .0863426{col 67}{space 3} .5694164
{txt}{space 8}enph {c |}{col 14}{res}{space 2} .4875551{col 26}{space 2} .2202048{col 37}{space 1}    2.21{col 46}{space 3}0.027{col 54}{space 4} .0559616{col 67}{space 3} .9191486
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.     estimates store A121
{txt}
{com}. * Year FE
. xtlogit end1_gwf $controlsFE c.enph i.year    if a_1 == 1
{txt}note: {bf:1945.year} != 0 predicts failure perfectly;
      {bf:1945.year} omitted and 13 obs not used.

note: {bf:1960.year} != 0 predicts failure perfectly;
      {bf:1960.year} omitted and 8 obs not used.

note: {bf:1961.year} != 0 predicts failure perfectly;
      {bf:1961.year} omitted and 8 obs not used.

note: {bf:1964.year} != 0 predicts failure perfectly;
      {bf:1964.year} omitted and 10 obs not used.

note: {bf:1967.year} != 0 predicts failure perfectly;
      {bf:1967.year} omitted and 13 obs not used.

note: {bf:1974.year} != 0 predicts failure perfectly;
      {bf:1974.year} omitted and 16 obs not used.

note: {bf:1975.year} != 0 predicts failure perfectly;
      {bf:1975.year} omitted and 16 obs not used.

note: {bf:1976.year} != 0 predicts failure perfectly;
      {bf:1976.year} omitted and 16 obs not used.

note: {bf:1977.year} != 0 predicts failure perfectly;
      {bf:1977.year} omitted and 17 obs not used.

note: {bf:1987.year} != 0 predicts failure perfectly;
      {bf:1987.year} omitted and 6 obs not used.

note: {bf:1992.year} != 0 predicts failure perfectly;
      {bf:1992.year} omitted and 2 obs not used.

note: {bf:1993.year} != 0 predicts failure perfectly;
      {bf:1993.year} omitted and 3 obs not used.

note: {bf:1995.year} != 0 predicts failure perfectly;
      {bf:1995.year} omitted and 3 obs not used.

note: {bf:1996.year} != 0 predicts failure perfectly;
      {bf:1996.year} omitted and 1 obs not used.

note: {bf:1997.year} != 0 predicts failure perfectly;
      {bf:1997.year} omitted and 1 obs not used.

note: {bf:1998.year} != 0 predicts failure perfectly;
      {bf:1998.year} omitted and 1 obs not used.

note: {bf:1999.year} != 0 predicts failure perfectly;
      {bf:1999.year} omitted and 1 obs not used.

note: {bf:2000.year} != 0 predicts failure perfectly;
      {bf:2000.year} omitted and 2 obs not used.

note: {bf:2001.year} != 0 predicts failure perfectly;
      {bf:2001.year} omitted and 2 obs not used.

note: {bf:2002.year} != 0 predicts failure perfectly;
      {bf:2002.year} omitted and 2 obs not used.

note: {bf:2003.year} != 0 predicts failure perfectly;
      {bf:2003.year} omitted and 2 obs not used.

note: {bf:2005.year} != 0 predicts failure perfectly;
      {bf:2005.year} omitted and 2 obs not used.

note: {bf:2007.year} != 0 predicts failure perfectly;
      {bf:2007.year} omitted and 1 obs not used.

note: {bf:2006.year} omitted because of collinearity.

Fitting comparison model:

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-182.30133}  
Iteration 1:{space 2}Log likelihood = {res:-147.83074}  
Iteration 2:{space 2}Log likelihood = {res:-141.69199}  
Iteration 3:{space 2}Log likelihood = {res:-141.50663}  
Iteration 4:{space 2}Log likelihood = {res:-141.50613}  
Iteration 5:{space 2}Log likelihood = {res:-141.50613}  
{res}
{txt}Fitting full model:

tau = {res} 0.0    {txt}Log likelihood = {res}-141.50613
{txt}tau = {res} 0.1    {txt}Log likelihood = {res} -140.0126
{txt}tau = {res} 0.2    {txt}Log likelihood = {res}-139.21887
{txt}tau = {res} 0.3    {txt}Log likelihood = {res}-138.93141
{txt}tau = {res} 0.4    {txt}Log likelihood = {res}-139.06328

{txt}Iteration 0:{space 2}Log likelihood = {res:-138.93179}  
Iteration 1:{space 2}Log likelihood = {res:-137.75817}  
Iteration 2:{space 2}Log likelihood = {res:-137.72174}  
Iteration 3:{space 2}Log likelihood = {res:-137.72171}  
Iteration 4:{space 2}Log likelihood = {res:-137.72171}  
{res}
{txt}{col 1}Random-effects logistic regression{col 54}{lalign 16:Number of obs}{col 70} = {res}{ralign 6:428}
{txt}{col 1}{txt}Group variable: {res}cowcode{txt}{col 54}{lalign 16:Number of groups}{col 70} = {res}{ralign 6:20}

{txt}{col 1}Random effects u_i ~ {txt:Gaussian}{col 54}Obs per group:
{col 54}{ralign 16:min}{col 70} = {res}{ralign 6:1}
{txt}{col 54}{ralign 16:avg}{col 70} = {res}{ralign 6:21.4}
{txt}{col 54}{ralign 16:max}{col 70} = {res}{ralign 6:36}

{txt}{col 1}Integration method: {res:mvaghermite}{col 54}{lalign 16:Integration pts.}{col 70} = {res}{ralign 6:12}

{txt}{col 54}{lalign 16:Wald chi2({res:50})}{col 70} = {res}{ralign 6:50.83}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-137.72171}{txt}{col 54}{lalign 16:Prob > chi2}{col 70} = {res}{ralign 6:0.4407}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    end1_gwf{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}1.legis11 {c |}{col 14}{res}{space 2}-1.983054{col 26}{space 2} .6540331{col 37}{space 1}   -3.03{col 46}{space 3}0.002{col 54}{space 4}-3.264935{col 67}{space 3}-.7011726
{txt}{space 8}frag {c |}{col 14}{res}{space 2}-.0023407{col 26}{space 2} .7287577{col 37}{space 1}   -0.00{col 46}{space 3}0.997{col 54}{space 4} -1.43068{col 67}{space 3} 1.425998
{txt}{space 6}unrest {c |}{col 14}{res}{space 2} .1287438{col 26}{space 2} .0563335{col 37}{space 1}    2.29{col 46}{space 3}0.022{col 54}{space 4} .0183321{col 67}{space 3} .2391554
{txt}{space 4}personal {c |}{col 14}{res}{space 2}-.1862707{col 26}{space 2}  .495351{col 37}{space 1}   -0.38{col 46}{space 3}0.707{col 54}{space 4}-1.157141{col 67}{space 3} .7845994
{txt}{space 2}e_miinterc {c |}{col 14}{res}{space 2} 1.061182{col 26}{space 2} .5056941{col 37}{space 1}    2.10{col 46}{space 3}0.036{col 54}{space 4} .0700392{col 67}{space 3} 2.052324
{txt}{space 2}e_miinteco {c |}{col 14}{res}{space 2} 1.936871{col 26}{space 2}  1.06825{col 37}{space 1}    1.81{col 46}{space 3}0.070{col 54}{space 4}-.1568616{col 67}{space 3} 4.030603
{txt}{space 8}pgdp {c |}{col 14}{res}{space 2}-.3012688{col 26}{space 2} .1961197{col 37}{space 1}   -1.54{col 46}{space 3}0.125{col 54}{space 4}-.6856563{col 67}{space 3} .0831187
{txt}{space 7}gpgdp {c |}{col 14}{res}{space 2}-2.204532{col 26}{space 2} 3.819936{col 37}{space 1}   -0.58{col 46}{space 3}0.564{col 54}{space 4}-9.691469{col 67}{space 3} 5.282404
{txt}{space 6}oilmin {c |}{col 14}{res}{space 2}-.0401663{col 26}{space 2} .7679378{col 37}{space 1}   -0.05{col 46}{space 3}0.958{col 54}{space 4}-1.545297{col 67}{space 3} 1.464964
{txt}{space 8}popm {c |}{col 14}{res}{space 2}-.0044194{col 26}{space 2} .0140146{col 37}{space 1}   -0.32{col 46}{space 3}0.753{col 54}{space 4}-.0318876{col 67}{space 3} .0230488
{txt}{space 8}enph {c |}{col 14}{res}{space 2} .8233427{col 26}{space 2} .2517159{col 37}{space 1}    3.27{col 46}{space 3}0.001{col 54}{space 4} .3299886{col 67}{space 3} 1.316697
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}1945  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1946  {c |}{col 14}{res}{space 2}-2.825797{col 26}{space 2} 2.947215{col 37}{space 1}   -0.96{col 46}{space 3}0.338{col 54}{space 4}-8.602232{col 67}{space 3} 2.950637
{txt}{space 7}1947  {c |}{col 14}{res}{space 2}-3.412512{col 26}{space 2} 3.069418{col 37}{space 1}   -1.11{col 46}{space 3}0.266{col 54}{space 4}-9.428462{col 67}{space 3} 2.603437
{txt}{space 7}1948  {c |}{col 14}{res}{space 2}-1.760289{col 26}{space 2} 2.930592{col 37}{space 1}   -0.60{col 46}{space 3}0.548{col 54}{space 4}-7.504143{col 67}{space 3} 3.983565
{txt}{space 7}1949  {c |}{col 14}{res}{space 2}-3.172019{col 26}{space 2} 2.926895{col 37}{space 1}   -1.08{col 46}{space 3}0.278{col 54}{space 4}-8.908628{col 67}{space 3} 2.564589
{txt}{space 7}1950  {c |}{col 14}{res}{space 2}-3.805475{col 26}{space 2} 2.988612{col 37}{space 1}   -1.27{col 46}{space 3}0.203{col 54}{space 4}-9.663047{col 67}{space 3} 2.052098
{txt}{space 7}1951  {c |}{col 14}{res}{space 2} -2.97058{col 26}{space 2} 2.930989{col 37}{space 1}   -1.01{col 46}{space 3}0.311{col 54}{space 4}-8.715214{col 67}{space 3} 2.774053
{txt}{space 7}1952  {c |}{col 14}{res}{space 2}-3.159766{col 26}{space 2} 2.951319{col 37}{space 1}   -1.07{col 46}{space 3}0.284{col 54}{space 4}-8.944246{col 67}{space 3} 2.624713
{txt}{space 7}1953  {c |}{col 14}{res}{space 2}-2.942869{col 26}{space 2} 2.937955{col 37}{space 1}   -1.00{col 46}{space 3}0.317{col 54}{space 4}-8.701156{col 67}{space 3} 2.815418
{txt}{space 7}1954  {c |}{col 14}{res}{space 2}-3.492279{col 26}{space 2} 2.982536{col 37}{space 1}   -1.17{col 46}{space 3}0.242{col 54}{space 4}-9.337942{col 67}{space 3} 2.353384
{txt}{space 7}1955  {c |}{col 14}{res}{space 2}-2.816729{col 26}{space 2} 2.892407{col 37}{space 1}   -0.97{col 46}{space 3}0.330{col 54}{space 4}-8.485742{col 67}{space 3} 2.852285
{txt}{space 7}1956  {c |}{col 14}{res}{space 2} -2.76908{col 26}{space 2} 2.864857{col 37}{space 1}   -0.97{col 46}{space 3}0.334{col 54}{space 4}-8.384096{col 67}{space 3} 2.845936
{txt}{space 7}1957  {c |}{col 14}{res}{space 2} -3.48126{col 26}{space 2} 2.924038{col 37}{space 1}   -1.19{col 46}{space 3}0.234{col 54}{space 4} -9.21227{col 67}{space 3} 2.249749
{txt}{space 7}1958  {c |}{col 14}{res}{space 2}-1.601734{col 26}{space 2} 2.853101{col 37}{space 1}   -0.56{col 46}{space 3}0.575{col 54}{space 4}-7.193708{col 67}{space 3} 3.990241
{txt}{space 7}1959  {c |}{col 14}{res}{space 2}-4.227768{col 26}{space 2}  3.12925{col 37}{space 1}   -1.35{col 46}{space 3}0.177{col 54}{space 4}-10.36099{col 67}{space 3}  1.90545
{txt}{space 7}1960  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1961  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1962  {c |}{col 14}{res}{space 2}-3.290755{col 26}{space 2} 3.031069{col 37}{space 1}   -1.09{col 46}{space 3}0.278{col 54}{space 4} -9.23154{col 67}{space 3}  2.65003
{txt}{space 7}1963  {c |}{col 14}{res}{space 2}-2.223649{col 26}{space 2} 2.877637{col 37}{space 1}   -0.77{col 46}{space 3}0.440{col 54}{space 4}-7.863715{col 67}{space 3} 3.416416
{txt}{space 7}1964  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1965  {c |}{col 14}{res}{space 2}-4.797947{col 26}{space 2} 3.051903{col 37}{space 1}   -1.57{col 46}{space 3}0.116{col 54}{space 4}-10.77957{col 67}{space 3} 1.183673
{txt}{space 7}1966  {c |}{col 14}{res}{space 2}-2.731366{col 26}{space 2} 2.882915{col 37}{space 1}   -0.95{col 46}{space 3}0.343{col 54}{space 4}-8.381776{col 67}{space 3} 2.919044
{txt}{space 7}1967  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1968  {c |}{col 14}{res}{space 2}-4.892949{col 26}{space 2} 3.143144{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4} -11.0534{col 67}{space 3}   1.2675
{txt}{space 7}1969  {c |}{col 14}{res}{space 2}-4.738902{col 26}{space 2} 3.036131{col 37}{space 1}   -1.56{col 46}{space 3}0.119{col 54}{space 4}-10.68961{col 67}{space 3} 1.211804
{txt}{space 7}1970  {c |}{col 14}{res}{space 2}-3.959904{col 26}{space 2} 2.966867{col 37}{space 1}   -1.33{col 46}{space 3}0.182{col 54}{space 4}-9.774857{col 67}{space 3} 1.855048
{txt}{space 7}1971  {c |}{col 14}{res}{space 2}-3.124835{col 26}{space 2} 2.882852{col 37}{space 1}   -1.08{col 46}{space 3}0.278{col 54}{space 4}-8.775121{col 67}{space 3} 2.525452
{txt}{space 7}1972  {c |}{col 14}{res}{space 2}-3.909537{col 26}{space 2} 2.977707{col 37}{space 1}   -1.31{col 46}{space 3}0.189{col 54}{space 4}-9.745736{col 67}{space 3} 1.926662
{txt}{space 7}1973  {c |}{col 14}{res}{space 2}-3.952545{col 26}{space 2} 2.966771{col 37}{space 1}   -1.33{col 46}{space 3}0.183{col 54}{space 4}-9.767309{col 67}{space 3} 1.862219
{txt}{space 7}1974  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1975  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1976  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1977  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1978  {c |}{col 14}{res}{space 2}-4.423547{col 26}{space 2} 2.984021{col 37}{space 1}   -1.48{col 46}{space 3}0.138{col 54}{space 4}-10.27212{col 67}{space 3} 1.425025
{txt}{space 7}1979  {c |}{col 14}{res}{space 2} -2.92861{col 26}{space 2} 2.869537{col 37}{space 1}   -1.02{col 46}{space 3}0.307{col 54}{space 4}-8.552799{col 67}{space 3}  2.69558
{txt}{space 7}1980  {c |}{col 14}{res}{space 2}-3.890144{col 26}{space 2} 2.984224{col 37}{space 1}   -1.30{col 46}{space 3}0.192{col 54}{space 4}-9.739116{col 67}{space 3} 1.958827
{txt}{space 7}1981  {c |}{col 14}{res}{space 2}-3.948353{col 26}{space 2}  2.98092{col 37}{space 1}   -1.32{col 46}{space 3}0.185{col 54}{space 4}-9.790848{col 67}{space 3} 1.894143
{txt}{space 7}1982  {c |}{col 14}{res}{space 2}-2.890651{col 26}{space 2}  2.88296{col 37}{space 1}   -1.00{col 46}{space 3}0.316{col 54}{space 4}-8.541149{col 67}{space 3} 2.759848
{txt}{space 7}1983  {c |}{col 14}{res}{space 2}-3.932665{col 26}{space 2}  2.99561{col 37}{space 1}   -1.31{col 46}{space 3}0.189{col 54}{space 4}-9.803951{col 67}{space 3} 1.938622
{txt}{space 7}1984  {c |}{col 14}{res}{space 2}-3.859049{col 26}{space 2} 2.985587{col 37}{space 1}   -1.29{col 46}{space 3}0.196{col 54}{space 4}-9.710693{col 67}{space 3} 1.992594
{txt}{space 7}1985  {c |}{col 14}{res}{space 2}-2.914252{col 26}{space 2} 2.954132{col 37}{space 1}   -0.99{col 46}{space 3}0.324{col 54}{space 4}-8.704244{col 67}{space 3} 2.875741
{txt}{space 7}1986  {c |}{col 14}{res}{space 2}-3.325726{col 26}{space 2} 3.008004{col 37}{space 1}   -1.11{col 46}{space 3}0.269{col 54}{space 4}-9.221305{col 67}{space 3} 2.569854
{txt}{space 7}1987  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1988  {c |}{col 14}{res}{space 2}-2.622055{col 26}{space 2} 3.031836{col 37}{space 1}   -0.86{col 46}{space 3}0.387{col 54}{space 4}-8.564345{col 67}{space 3} 3.320234
{txt}{space 7}1989  {c |}{col 14}{res}{space 2}-2.156359{col 26}{space 2} 3.058025{col 37}{space 1}   -0.71{col 46}{space 3}0.481{col 54}{space 4}-8.149978{col 67}{space 3} 3.837261
{txt}{space 7}1990  {c |}{col 14}{res}{space 2}-2.669451{col 26}{space 2} 3.077517{col 37}{space 1}   -0.87{col 46}{space 3}0.386{col 54}{space 4}-8.701273{col 67}{space 3} 3.362372
{txt}{space 7}1991  {c |}{col 14}{res}{space 2}-1.353503{col 26}{space 2} 4.455072{col 37}{space 1}   -0.30{col 46}{space 3}0.761{col 54}{space 4}-10.08528{col 67}{space 3} 7.378277
{txt}{space 7}1992  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1993  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1994  {c |}{col 14}{res}{space 2}-3.999394{col 26}{space 2} 3.385694{col 37}{space 1}   -1.18{col 46}{space 3}0.237{col 54}{space 4}-10.63523{col 67}{space 3} 2.636444
{txt}{space 7}1995  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1996  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1997  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1998  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1999  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}2000  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}2001  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}2002  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}2003  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}2004  {c |}{col 14}{res}{space 2}-.5394339{col 26}{space 2} 3.873949{col 37}{space 1}   -0.14{col 46}{space 3}0.889{col 54}{space 4}-8.132235{col 67}{space 3} 7.053367
{txt}{space 7}2005  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}2006  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}2007  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 1.727821{col 26}{space 2} 2.814528{col 37}{space 1}    0.61{col 46}{space 3}0.539{col 54}{space 4}-3.788553{col 67}{space 3} 7.244195
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}/lnsig2u {c |}{col 14}{res}{space 2}-.1576593{col 26}{space 2} .6951765{col 54}{space 4} -1.52018{col 67}{space 3} 1.204862
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |}{col 14}{res}{space 2} .9241974{col 26}{space 2} .3212401{col 54}{space 4} .4676243{col 67}{space 3} 1.826553
{txt}         rho {c |}{col 14}{res}{space 2} .2061146{col 26}{space 2} .1137527{col 54}{space 4} .0623258{col 67}{space 3} .5035035
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{txt}LR test of rho=0: {help j_chibar##|_new:chibar2(01) = }{res}7.57{col 56}{txt}Prob >= chibar2 = {res}0.003
{txt}
{com}.     estimates store A122
{txt}
{com}.         
. ** CGV
. replace age  = age_cgv
{txt}(534 real changes made)

{com}. replace age2 = age2_cgv
{txt}(534 real changes made)

{com}. replace age3 = age3_cgv
{txt}(534 real changes made)

{com}. 
. * Country FE
. xtlogit end1_cgv  $controlsFE age2 age3 age c.enph    if a_1 == 1, fe
{txt}note: multiple positive outcomes within groups encountered.
note: 1 group (1 obs) omitted because of all positive or
      all negative outcomes.
{res}
{txt}Iteration 0:{space 2}Log likelihood = {res: -139.7273}  
Iteration 1:{space 2}Log likelihood = {res:-133.48866}  
Iteration 2:{space 2}Log likelihood = {res:-133.38173}  
Iteration 3:{space 2}Log likelihood = {res:-133.38166}  
Iteration 4:{space 2}Log likelihood = {res:-133.38166}  
{res}
{txt}{col 1}Conditional fixed-effects logistic regression{col 54}{lalign 16:Number of obs}{col 70} = {res}{ralign 6:573}
{txt}{col 1}{txt}Group variable: {res}cowcode{txt}{col 54}{lalign 16:Number of groups}{col 70} = {res}{ralign 6:19}

{txt}{col 54}Obs per group:
{col 54}{ralign 16:min}{col 70} = {res}{ralign 6:9}
{txt}{col 54}{ralign 16:avg}{col 70} = {res}{ralign 6:30.2}
{txt}{col 54}{ralign 16:max}{col 70} = {res}{ralign 6:55}

{txt}{col 54}{lalign 16:LR chi2({res:14})}{col 70} = {res}{ralign 6:50.99}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-133.38166}{txt}{col 54}{lalign 16:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    end1_cgv{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}1.legis11 {c |}{col 14}{res}{space 2}-1.035832{col 26}{space 2} .6408605{col 37}{space 1}   -1.62{col 46}{space 3}0.106{col 54}{space 4}-2.291896{col 67}{space 3} .2202315
{txt}{space 8}frag {c |}{col 14}{res}{space 2} .5499219{col 26}{space 2}  .571831{col 37}{space 1}    0.96{col 46}{space 3}0.336{col 54}{space 4}-.5708463{col 67}{space 3}  1.67069
{txt}{space 6}unrest {c |}{col 14}{res}{space 2} .0045625{col 26}{space 2} .0558482{col 37}{space 1}    0.08{col 46}{space 3}0.935{col 54}{space 4} -.104898{col 67}{space 3} .1140229
{txt}{space 4}personal {c |}{col 14}{res}{space 2}-.3710884{col 26}{space 2} .4984382{col 37}{space 1}   -0.74{col 46}{space 3}0.457{col 54}{space 4}-1.348009{col 67}{space 3} .6058325
{txt}{space 2}e_miinterc {c |}{col 14}{res}{space 2} 1.673053{col 26}{space 2} .4500347{col 37}{space 1}    3.72{col 46}{space 3}0.000{col 54}{space 4} .7910011{col 67}{space 3} 2.555105
{txt}{space 2}e_miinteco {c |}{col 14}{res}{space 2} .9435761{col 26}{space 2} .8481444{col 37}{space 1}    1.11{col 46}{space 3}0.266{col 54}{space 4}-.7187564{col 67}{space 3} 2.605909
{txt}{space 8}pgdp {c |}{col 14}{res}{space 2}-.5873778{col 26}{space 2} .3611881{col 37}{space 1}   -1.63{col 46}{space 3}0.104{col 54}{space 4}-1.295294{col 67}{space 3} .1205378
{txt}{space 7}gpgdp {c |}{col 14}{res}{space 2}-6.436342{col 26}{space 2} 2.882182{col 37}{space 1}   -2.23{col 46}{space 3}0.026{col 54}{space 4}-12.08532{col 67}{space 3}-.7873687
{txt}{space 6}oilmin {c |}{col 14}{res}{space 2}-1.215898{col 26}{space 2} 1.291174{col 37}{space 1}   -0.94{col 46}{space 3}0.346{col 54}{space 4}-3.746553{col 67}{space 3} 1.314757
{txt}{space 8}popm {c |}{col 14}{res}{space 2}-.0220873{col 26}{space 2} .0269627{col 37}{space 1}   -0.82{col 46}{space 3}0.413{col 54}{space 4}-.0749332{col 67}{space 3} .0307587
{txt}{space 8}age2 {c |}{col 14}{res}{space 2}-.0104957{col 26}{space 2} .0063687{col 37}{space 1}   -1.65{col 46}{space 3}0.099{col 54}{space 4}-.0229781{col 67}{space 3} .0019867
{txt}{space 8}age3 {c |}{col 14}{res}{space 2} .0001537{col 26}{space 2} .0000982{col 37}{space 1}    1.56{col 46}{space 3}0.118{col 54}{space 4}-.0000389{col 67}{space 3} .0003462
{txt}{space 9}age {c |}{col 14}{res}{space 2} .2197878{col 26}{space 2} .1056861{col 37}{space 1}    2.08{col 46}{space 3}0.038{col 54}{space 4} .0126469{col 67}{space 3} .4269288
{txt}{space 8}enph {c |}{col 14}{res}{space 2} .4418088{col 26}{space 2} .2200306{col 37}{space 1}    2.01{col 46}{space 3}0.045{col 54}{space 4} .0105567{col 67}{space 3} .8730608
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.     estimates store A123
{txt}
{com}. * Year FE
. xtlogit end1_cgv $controlsFE c.enph i.year    if a_1 == 1
{txt}note: {bf:1945.year} != 0 predicts failure perfectly;
      {bf:1945.year} omitted and 13 obs not used.

note: {bf:1960.year} != 0 predicts failure perfectly;
      {bf:1960.year} omitted and 8 obs not used.

note: {bf:1962.year} != 0 predicts failure perfectly;
      {bf:1962.year} omitted and 8 obs not used.

note: {bf:1964.year} != 0 predicts failure perfectly;
      {bf:1964.year} omitted and 10 obs not used.

note: {bf:1968.year} != 0 predicts failure perfectly;
      {bf:1968.year} omitted and 13 obs not used.

note: {bf:1969.year} != 0 predicts failure perfectly;
      {bf:1969.year} omitted and 14 obs not used.

note: {bf:1970.year} != 0 predicts failure perfectly;
      {bf:1970.year} omitted and 14 obs not used.

note: {bf:1974.year} != 0 predicts failure perfectly;
      {bf:1974.year} omitted and 16 obs not used.

note: {bf:1975.year} != 0 predicts failure perfectly;
      {bf:1975.year} omitted and 16 obs not used.

note: {bf:1976.year} != 0 predicts failure perfectly;
      {bf:1976.year} omitted and 16 obs not used.

note: {bf:1977.year} != 0 predicts failure perfectly;
      {bf:1977.year} omitted and 17 obs not used.

note: {bf:1978.year} != 0 predicts failure perfectly;
      {bf:1978.year} omitted and 17 obs not used.

note: {bf:1981.year} != 0 predicts failure perfectly;
      {bf:1981.year} omitted and 14 obs not used.

note: {bf:1987.year} != 0 predicts failure perfectly;
      {bf:1987.year} omitted and 6 obs not used.

note: {bf:1988.year} != 0 predicts failure perfectly;
      {bf:1988.year} omitted and 6 obs not used.

note: {bf:1991.year} != 0 predicts failure perfectly;
      {bf:1991.year} omitted and 2 obs not used.

note: {bf:1992.year} != 0 predicts failure perfectly;
      {bf:1992.year} omitted and 2 obs not used.

note: {bf:1993.year} != 0 predicts failure perfectly;
      {bf:1993.year} omitted and 3 obs not used.

note: {bf:1994.year} != 0 predicts failure perfectly;
      {bf:1994.year} omitted and 3 obs not used.

note: {bf:1995.year} != 0 predicts failure perfectly;
      {bf:1995.year} omitted and 3 obs not used.

note: {bf:1996.year} != 0 predicts failure perfectly;
      {bf:1996.year} omitted and 1 obs not used.

note: {bf:1997.year} != 0 predicts failure perfectly;
      {bf:1997.year} omitted and 1 obs not used.

note: {bf:1998.year} != 0 predicts failure perfectly;
      {bf:1998.year} omitted and 1 obs not used.

note: {bf:1999.year} != 0 predicts failure perfectly;
      {bf:1999.year} omitted and 1 obs not used.

note: {bf:2000.year} != 0 predicts failure perfectly;
      {bf:2000.year} omitted and 2 obs not used.

note: {bf:2001.year} != 0 predicts failure perfectly;
      {bf:2001.year} omitted and 2 obs not used.

note: {bf:2002.year} != 0 predicts failure perfectly;
      {bf:2002.year} omitted and 2 obs not used.

note: {bf:2003.year} != 0 predicts failure perfectly;
      {bf:2003.year} omitted and 2 obs not used.

note: {bf:2004.year} != 0 predicts failure perfectly;
      {bf:2004.year} omitted and 2 obs not used.

note: {bf:2005.year} != 0 predicts failure perfectly;
      {bf:2005.year} omitted and 2 obs not used.

note: {bf:2007.year} != 0 predicts failure perfectly;
      {bf:2007.year} omitted and 1 obs not used.

note: {bf:2006.year} omitted because of collinearity.

Fitting comparison model:

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-166.16728}  
Iteration 1:{space 2}Log likelihood = {res:-132.82311}  
Iteration 2:{space 2}Log likelihood = {res: -128.8411}  
Iteration 3:{space 2}Log likelihood = {res:-128.77467}  
Iteration 4:{space 2}Log likelihood = {res:-128.77461}  
Iteration 5:{space 2}Log likelihood = {res:-128.77461}  
{res}
{txt}Fitting full model:

tau = {res} 0.0    {txt}Log likelihood = {res}-128.77461
{txt}tau = {res} 0.1    {txt}Log likelihood = {res}-128.53598
{txt}tau = {res} 0.2    {txt}Log likelihood = {res}-128.60934

{txt}Iteration 0:{space 2}Log likelihood = {res:-128.53598}  
Iteration 1:{space 2}Log likelihood = {res:-128.35772}  
Iteration 2:{space 2}Log likelihood = {res:-128.21683}  
Iteration 3:{space 2}Log likelihood = {res:-128.21567}  
Iteration 4:{space 2}Log likelihood = {res:-128.21567}  
{res}
{txt}{col 1}Random-effects logistic regression{col 54}{lalign 16:Number of obs}{col 70} = {res}{ralign 6:356}
{txt}{col 1}{txt}Group variable: {res}cowcode{txt}{col 54}{lalign 16:Number of groups}{col 70} = {res}{ralign 6:20}

{txt}{col 1}Random effects u_i ~ {txt:Gaussian}{col 54}Obs per group:
{col 54}{ralign 16:min}{col 70} = {res}{ralign 6:1}
{txt}{col 54}{ralign 16:avg}{col 70} = {res}{ralign 6:17.8}
{txt}{col 54}{ralign 16:max}{col 70} = {res}{ralign 6:30}

{txt}{col 1}Integration method: {res:mvaghermite}{col 54}{lalign 16:Integration pts.}{col 70} = {res}{ralign 6:12}

{txt}{col 54}{lalign 16:Wald chi2({res:42})}{col 70} = {res}{ralign 6:45.86}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-128.21567}{txt}{col 54}{lalign 16:Prob > chi2}{col 70} = {res}{ralign 6:0.3151}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    end1_cgv{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}1.legis11 {c |}{col 14}{res}{space 2}-1.710437{col 26}{space 2} .5953229{col 37}{space 1}   -2.87{col 46}{space 3}0.004{col 54}{space 4}-2.877249{col 67}{space 3}-.5436256
{txt}{space 8}frag {c |}{col 14}{res}{space 2} .6640283{col 26}{space 2} .6508132{col 37}{space 1}    1.02{col 46}{space 3}0.308{col 54}{space 4}-.6115422{col 67}{space 3} 1.939599
{txt}{space 6}unrest {c |}{col 14}{res}{space 2} .1167142{col 26}{space 2} .0674081{col 37}{space 1}    1.73{col 46}{space 3}0.083{col 54}{space 4}-.0154031{col 67}{space 3} .2488316
{txt}{space 4}personal {c |}{col 14}{res}{space 2}-.2787771{col 26}{space 2} .4858424{col 37}{space 1}   -0.57{col 46}{space 3}0.566{col 54}{space 4}-1.231011{col 67}{space 3} .6734566
{txt}{space 2}e_miinterc {c |}{col 14}{res}{space 2} 1.209692{col 26}{space 2} .4826417{col 37}{space 1}    2.51{col 46}{space 3}0.012{col 54}{space 4} .2637313{col 67}{space 3} 2.155652
{txt}{space 2}e_miinteco {c |}{col 14}{res}{space 2} 1.600629{col 26}{space 2} 1.190243{col 37}{space 1}    1.34{col 46}{space 3}0.179{col 54}{space 4}-.7322032{col 67}{space 3} 3.933462
{txt}{space 8}pgdp {c |}{col 14}{res}{space 2}-.1084159{col 26}{space 2} .1592757{col 37}{space 1}   -0.68{col 46}{space 3}0.496{col 54}{space 4}-.4205907{col 67}{space 3} .2037588
{txt}{space 7}gpgdp {c |}{col 14}{res}{space 2}-8.929698{col 26}{space 2} 4.245732{col 37}{space 1}   -2.10{col 46}{space 3}0.035{col 54}{space 4}-17.25118{col 67}{space 3}-.6082163
{txt}{space 6}oilmin {c |}{col 14}{res}{space 2}-.4369953{col 26}{space 2} .6758688{col 37}{space 1}   -0.65{col 46}{space 3}0.518{col 54}{space 4}-1.761674{col 67}{space 3} .8876832
{txt}{space 8}popm {c |}{col 14}{res}{space 2}-.0019868{col 26}{space 2} .0109738{col 37}{space 1}   -0.18{col 46}{space 3}0.856{col 54}{space 4}-.0234949{col 67}{space 3} .0195214
{txt}{space 8}enph {c |}{col 14}{res}{space 2} .6054826{col 26}{space 2} .2317697{col 37}{space 1}    2.61{col 46}{space 3}0.009{col 54}{space 4} .1512223{col 67}{space 3} 1.059743
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}1945  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1946  {c |}{col 14}{res}{space 2} -3.01391{col 26}{space 2} 2.293703{col 37}{space 1}   -1.31{col 46}{space 3}0.189{col 54}{space 4}-7.509485{col 67}{space 3} 1.481665
{txt}{space 7}1947  {c |}{col 14}{res}{space 2}-2.015768{col 26}{space 2} 2.280809{col 37}{space 1}   -0.88{col 46}{space 3}0.377{col 54}{space 4}-6.486071{col 67}{space 3} 2.454535
{txt}{space 7}1948  {c |}{col 14}{res}{space 2}-2.580169{col 26}{space 2} 2.319573{col 37}{space 1}   -1.11{col 46}{space 3}0.266{col 54}{space 4}-7.126449{col 67}{space 3} 1.966112
{txt}{space 7}1949  {c |}{col 14}{res}{space 2}-2.579335{col 26}{space 2} 2.199118{col 37}{space 1}   -1.17{col 46}{space 3}0.241{col 54}{space 4}-6.889528{col 67}{space 3} 1.730858
{txt}{space 7}1950  {c |}{col 14}{res}{space 2}-3.966439{col 26}{space 2} 2.337595{col 37}{space 1}   -1.70{col 46}{space 3}0.090{col 54}{space 4}-8.548041{col 67}{space 3} .6151633
{txt}{space 7}1951  {c |}{col 14}{res}{space 2}-2.987788{col 26}{space 2} 2.248844{col 37}{space 1}   -1.33{col 46}{space 3}0.184{col 54}{space 4}-7.395442{col 67}{space 3} 1.419866
{txt}{space 7}1952  {c |}{col 14}{res}{space 2}-2.489227{col 26}{space 2} 2.201884{col 37}{space 1}   -1.13{col 46}{space 3}0.258{col 54}{space 4} -6.80484{col 67}{space 3} 1.826386
{txt}{space 7}1953  {c |}{col 14}{res}{space 2}-3.923622{col 26}{space 2} 2.339646{col 37}{space 1}   -1.68{col 46}{space 3}0.094{col 54}{space 4}-8.509244{col 67}{space 3} .6620002
{txt}{space 7}1954  {c |}{col 14}{res}{space 2}-3.665054{col 26}{space 2} 2.329187{col 37}{space 1}   -1.57{col 46}{space 3}0.116{col 54}{space 4}-8.230177{col 67}{space 3} .9000683
{txt}{space 7}1955  {c |}{col 14}{res}{space 2}-3.844746{col 26}{space 2} 2.337233{col 37}{space 1}   -1.64{col 46}{space 3}0.100{col 54}{space 4}-8.425639{col 67}{space 3} .7361464
{txt}{space 7}1956  {c |}{col 14}{res}{space 2}-2.405403{col 26}{space 2} 2.160635{col 37}{space 1}   -1.11{col 46}{space 3}0.266{col 54}{space 4} -6.64017{col 67}{space 3} 1.829364
{txt}{space 7}1957  {c |}{col 14}{res}{space 2}-4.504379{col 26}{space 2} 2.388758{col 37}{space 1}   -1.89{col 46}{space 3}0.059{col 54}{space 4}-9.186258{col 67}{space 3} .1775004
{txt}{space 7}1958  {c |}{col 14}{res}{space 2} -2.07444{col 26}{space 2} 2.168608{col 37}{space 1}   -0.96{col 46}{space 3}0.339{col 54}{space 4}-6.324834{col 67}{space 3} 2.175954
{txt}{space 7}1959  {c |}{col 14}{res}{space 2}-3.231971{col 26}{space 2} 2.332115{col 37}{space 1}   -1.39{col 46}{space 3}0.166{col 54}{space 4}-7.802831{col 67}{space 3}  1.33889
{txt}{space 7}1960  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1961  {c |}{col 14}{res}{space 2}-3.722856{col 26}{space 2} 2.401411{col 37}{space 1}   -1.55{col 46}{space 3}0.121{col 54}{space 4}-8.429536{col 67}{space 3} .9838231
{txt}{space 7}1962  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1963  {c |}{col 14}{res}{space 2}-1.872817{col 26}{space 2} 2.168469{col 37}{space 1}   -0.86{col 46}{space 3}0.388{col 54}{space 4}-6.122937{col 67}{space 3} 2.377304
{txt}{space 7}1964  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1965  {c |}{col 14}{res}{space 2}-5.158833{col 26}{space 2} 2.517091{col 37}{space 1}   -2.05{col 46}{space 3}0.040{col 54}{space 4}-10.09224{col 67}{space 3}-.2254258
{txt}{space 7}1966  {c |}{col 14}{res}{space 2}-2.814356{col 26}{space 2} 2.204862{col 37}{space 1}   -1.28{col 46}{space 3}0.202{col 54}{space 4}-7.135807{col 67}{space 3} 1.507095
{txt}{space 7}1967  {c |}{col 14}{res}{space 2}-3.819635{col 26}{space 2} 2.350168{col 37}{space 1}   -1.63{col 46}{space 3}0.104{col 54}{space 4} -8.42588{col 67}{space 3}   .78661
{txt}{space 7}1968  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1969  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1970  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1971  {c |}{col 14}{res}{space 2}-3.974271{col 26}{space 2} 2.331741{col 37}{space 1}   -1.70{col 46}{space 3}0.088{col 54}{space 4}-8.544399{col 67}{space 3} .5958566
{txt}{space 7}1972  {c |}{col 14}{res}{space 2}-3.989575{col 26}{space 2} 2.333919{col 37}{space 1}   -1.71{col 46}{space 3}0.087{col 54}{space 4}-8.563973{col 67}{space 3} .5848223
{txt}{space 7}1973  {c |}{col 14}{res}{space 2}-3.874628{col 26}{space 2} 2.309286{col 37}{space 1}   -1.68{col 46}{space 3}0.093{col 54}{space 4}-8.400745{col 67}{space 3} .6514895
{txt}{space 7}1974  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1975  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1976  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1977  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1978  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1979  {c |}{col 14}{res}{space 2}-3.374182{col 26}{space 2} 2.230104{col 37}{space 1}   -1.51{col 46}{space 3}0.130{col 54}{space 4}-7.745106{col 67}{space 3} .9967417
{txt}{space 7}1980  {c |}{col 14}{res}{space 2}-3.654647{col 26}{space 2} 2.257222{col 37}{space 1}   -1.62{col 46}{space 3}0.105{col 54}{space 4} -8.07872{col 67}{space 3} .7694264
{txt}{space 7}1981  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1982  {c |}{col 14}{res}{space 2} -3.28759{col 26}{space 2} 2.215771{col 37}{space 1}   -1.48{col 46}{space 3}0.138{col 54}{space 4}-7.630421{col 67}{space 3} 1.055242
{txt}{space 7}1983  {c |}{col 14}{res}{space 2}-4.803708{col 26}{space 2} 2.363754{col 37}{space 1}   -2.03{col 46}{space 3}0.042{col 54}{space 4}-9.436581{col 67}{space 3}-.1708352
{txt}{space 7}1984  {c |}{col 14}{res}{space 2}-3.454266{col 26}{space 2} 2.222591{col 37}{space 1}   -1.55{col 46}{space 3}0.120{col 54}{space 4}-7.810463{col 67}{space 3} .9019314
{txt}{space 7}1985  {c |}{col 14}{res}{space 2}-3.123272{col 26}{space 2}  2.28895{col 37}{space 1}   -1.36{col 46}{space 3}0.172{col 54}{space 4}-7.609532{col 67}{space 3} 1.362988
{txt}{space 7}1986  {c |}{col 14}{res}{space 2} -2.72029{col 26}{space 2} 2.257851{col 37}{space 1}   -1.20{col 46}{space 3}0.228{col 54}{space 4}-7.145596{col 67}{space 3} 1.705016
{txt}{space 7}1987  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1988  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1989  {c |}{col 14}{res}{space 2}-2.070697{col 26}{space 2} 2.334349{col 37}{space 1}   -0.89{col 46}{space 3}0.375{col 54}{space 4}-6.645937{col 67}{space 3} 2.504543
{txt}{space 7}1990  {c |}{col 14}{res}{space 2}-.8979378{col 26}{space 2} 2.277677{col 37}{space 1}   -0.39{col 46}{space 3}0.693{col 54}{space 4}-5.362103{col 67}{space 3} 3.566227
{txt}{space 7}1991  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1992  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1993  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1994  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1995  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1996  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1997  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1998  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1999  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}2000  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}2001  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}2002  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}2003  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}2004  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}2005  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}2006  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}2007  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 1.751807{col 26}{space 2} 2.089184{col 37}{space 1}    0.84{col 46}{space 3}0.402{col 54}{space 4}-2.342919{col 67}{space 3} 5.846533
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}/lnsig2u {c |}{col 14}{res}{space 2}-1.026856{col 26}{space 2} 1.206855{col 54}{space 4}-3.392249{col 67}{space 3} 1.338536
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |}{col 14}{res}{space 2} .5984405{col 26}{space 2} .3611155{col 54}{space 4} .1833929{col 67}{space 3} 1.952807
{txt}         rho {c |}{col 14}{res}{space 2} .0981719{col 26}{space 2} .1068479{col 54}{space 4} .0101197{col 67}{space 3} .5368552
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{txt}LR test of rho=0: {help j_chibar##|_new:chibar2(01) = }{res}1.12{col 56}{txt}Prob >= chibar2 = {res}0.145
{txt}
{com}.     estimates store A124
{txt}
{com}. 
. ** Svolik
. replace age  = age_sv
{txt}(499 real changes made)

{com}. replace age2 = age2_sv
{txt}(499 real changes made)

{com}. replace age3 = age3_sv
{txt}(499 real changes made)

{com}. 
. * Country FE
. xtlogit end1_sv  $controlsFE age2 age3 age c.enph    if a_1 == 1, fe
{txt}note: multiple positive outcomes within groups encountered.
note: 3 groups (68 obs) omitted because of all positive or
      all negative outcomes.
{res}
{txt}Iteration 0:{space 2}Log likelihood = {res:-123.20628}  
Iteration 1:{space 2}Log likelihood = {res:-115.95099}  
Iteration 2:{space 2}Log likelihood = {res:-115.84761}  
Iteration 3:{space 2}Log likelihood = {res:-115.84747}  
Iteration 4:{space 2}Log likelihood = {res:-115.84747}  
{res}
{txt}{col 1}Conditional fixed-effects logistic regression{col 54}{lalign 16:Number of obs}{col 70} = {res}{ralign 6:506}
{txt}{col 1}{txt}Group variable: {res}cowcode{txt}{col 54}{lalign 16:Number of groups}{col 70} = {res}{ralign 6:17}

{txt}{col 54}Obs per group:
{col 54}{ralign 16:min}{col 70} = {res}{ralign 6:9}
{txt}{col 54}{ralign 16:avg}{col 70} = {res}{ralign 6:29.8}
{txt}{col 54}{ralign 16:max}{col 70} = {res}{ralign 6:55}

{txt}{col 54}{lalign 16:LR chi2({res:14})}{col 70} = {res}{ralign 6:48.14}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-115.84747}{txt}{col 54}{lalign 16:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     end1_sv{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}1.legis11 {c |}{col 14}{res}{space 2}-1.824603{col 26}{space 2} .7904199{col 37}{space 1}   -2.31{col 46}{space 3}0.021{col 54}{space 4}-3.373798{col 67}{space 3}-.2754089
{txt}{space 8}frag {c |}{col 14}{res}{space 2}-1.004722{col 26}{space 2} .9056063{col 37}{space 1}   -1.11{col 46}{space 3}0.267{col 54}{space 4}-2.779677{col 67}{space 3} .7702341
{txt}{space 6}unrest {c |}{col 14}{res}{space 2} .0455534{col 26}{space 2} .0543423{col 37}{space 1}    0.84{col 46}{space 3}0.402{col 54}{space 4}-.0609555{col 67}{space 3} .1520624
{txt}{space 4}personal {c |}{col 14}{res}{space 2}-.9268845{col 26}{space 2} .5755259{col 37}{space 1}   -1.61{col 46}{space 3}0.107{col 54}{space 4}-2.054895{col 67}{space 3} .2011256
{txt}{space 2}e_miinterc {c |}{col 14}{res}{space 2} .9948648{col 26}{space 2} .4695748{col 37}{space 1}    2.12{col 46}{space 3}0.034{col 54}{space 4} .0745151{col 67}{space 3} 1.915215
{txt}{space 2}e_miinteco {c |}{col 14}{res}{space 2}-.7170976{col 26}{space 2} 1.194776{col 37}{space 1}   -0.60{col 46}{space 3}0.548{col 54}{space 4}-3.058815{col 67}{space 3}  1.62462
{txt}{space 8}pgdp {c |}{col 14}{res}{space 2}-.2979929{col 26}{space 2} .4984264{col 37}{space 1}   -0.60{col 46}{space 3}0.550{col 54}{space 4}-1.274891{col 67}{space 3} .6789048
{txt}{space 7}gpgdp {c |}{col 14}{res}{space 2}-10.33616{col 26}{space 2}  3.36735{col 37}{space 1}   -3.07{col 46}{space 3}0.002{col 54}{space 4}-16.93605{col 67}{space 3}-3.736278
{txt}{space 6}oilmin {c |}{col 14}{res}{space 2} .7620978{col 26}{space 2} 1.182082{col 37}{space 1}    0.64{col 46}{space 3}0.519{col 54}{space 4}-1.554741{col 67}{space 3} 3.078937
{txt}{space 8}popm {c |}{col 14}{res}{space 2} .0313916{col 26}{space 2} .1193639{col 37}{space 1}    0.26{col 46}{space 3}0.793{col 54}{space 4}-.2025573{col 67}{space 3} .2653405
{txt}{space 8}age2 {c |}{col 14}{res}{space 2} -.022855{col 26}{space 2} .0080961{col 37}{space 1}   -2.82{col 46}{space 3}0.005{col 54}{space 4} -.038723{col 67}{space 3} -.006987
{txt}{space 8}age3 {c |}{col 14}{res}{space 2} .0002883{col 26}{space 2} .0001336{col 37}{space 1}    2.16{col 46}{space 3}0.031{col 54}{space 4} .0000265{col 67}{space 3} .0005501
{txt}{space 9}age {c |}{col 14}{res}{space 2} .4888002{col 26}{space 2} .1315104{col 37}{space 1}    3.72{col 46}{space 3}0.000{col 54}{space 4} .2310446{col 67}{space 3} .7465558
{txt}{space 8}enph {c |}{col 14}{res}{space 2}  .862841{col 26}{space 2} .2877125{col 37}{space 1}    3.00{col 46}{space 3}0.003{col 54}{space 4} .2989347{col 67}{space 3} 1.426747
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.     estimates store A125
{txt}
{com}. * Year FE
. xtlogit end1_sv $controlsFE c.enph i.year    if a_1 == 1
{txt}note: {bf:1945.year} != 0 predicts failure perfectly;
      {bf:1945.year} omitted and 13 obs not used.

note: {bf:1946.year} != 0 predicts failure perfectly;
      {bf:1946.year} omitted and 10 obs not used.

note: {bf:1951.year} != 0 predicts failure perfectly;
      {bf:1951.year} omitted and 12 obs not used.

note: {bf:1961.year} != 0 predicts failure perfectly;
      {bf:1961.year} omitted and 8 obs not used.

note: {bf:1965.year} != 0 predicts failure perfectly;
      {bf:1965.year} omitted and 12 obs not used.

note: {bf:1968.year} != 0 predicts failure perfectly;
      {bf:1968.year} omitted and 13 obs not used.

note: {bf:1970.year} != 0 predicts failure perfectly;
      {bf:1970.year} omitted and 14 obs not used.

note: {bf:1984.year} != 0 predicts failure perfectly;
      {bf:1984.year} omitted and 11 obs not used.

note: {bf:1987.year} != 0 predicts failure perfectly;
      {bf:1987.year} omitted and 6 obs not used.

note: {bf:1988.year} != 0 predicts failure perfectly;
      {bf:1988.year} omitted and 6 obs not used.

note: {bf:1992.year} != 0 predicts failure perfectly;
      {bf:1992.year} omitted and 2 obs not used.

note: {bf:1993.year} != 0 predicts failure perfectly;
      {bf:1993.year} omitted and 3 obs not used.

note: {bf:1995.year} != 0 predicts failure perfectly;
      {bf:1995.year} omitted and 3 obs not used.

note: {bf:1996.year} != 0 predicts failure perfectly;
      {bf:1996.year} omitted and 1 obs not used.

note: {bf:1997.year} != 0 predicts failure perfectly;
      {bf:1997.year} omitted and 1 obs not used.

note: {bf:1998.year} != 0 predicts failure perfectly;
      {bf:1998.year} omitted and 1 obs not used.

note: {bf:1999.year} != 0 predicts failure perfectly;
      {bf:1999.year} omitted and 1 obs not used.

note: {bf:2000.year} != 0 predicts failure perfectly;
      {bf:2000.year} omitted and 2 obs not used.

note: {bf:2001.year} != 0 predicts failure perfectly;
      {bf:2001.year} omitted and 2 obs not used.

note: {bf:2002.year} != 0 predicts failure perfectly;
      {bf:2002.year} omitted and 2 obs not used.

note: {bf:2003.year} != 0 predicts failure perfectly;
      {bf:2003.year} omitted and 2 obs not used.

note: {bf:2004.year} != 0 predicts failure perfectly;
      {bf:2004.year} omitted and 2 obs not used.

note: {bf:2005.year} != 0 predicts failure perfectly;
      {bf:2005.year} omitted and 2 obs not used.

note: {bf:2006.year} != 0 predicts failure perfectly;
      {bf:2006.year} omitted and 2 obs not used.

note: {bf:2007.year} != 0 predicts failure perfectly;
      {bf:2007.year} omitted and 1 obs not used.

note: {bf:1994.year} omitted because of collinearity.

Fitting comparison model:

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-173.68686}  
Iteration 1:{space 2}Log likelihood = {res:-148.58537}  
Iteration 2:{space 2}Log likelihood = {res:-142.57412}  
Iteration 3:{space 2}Log likelihood = {res:-142.20775}  
Iteration 4:{space 2}Log likelihood = {res:-142.19645}  
Iteration 5:{space 2}Log likelihood = {res:-142.19641}  
Iteration 6:{space 2}Log likelihood = {res:-142.19641}  
{res}
{txt}Fitting full model:

tau = {res} 0.0    {txt}Log likelihood = {res}-142.19641
{txt}tau = {res} 0.1    {txt}Log likelihood = {res}-140.72822
{txt}tau = {res} 0.2    {txt}Log likelihood = {res}-140.04125
{txt}tau = {res} 0.3    {txt}Log likelihood = {res}-139.87433
{txt}tau = {res} 0.4    {txt}Log likelihood = {res} -140.1292

{txt}Iteration 0:{space 2}Log likelihood = {res: -139.8732}  
Iteration 1:{space 2}Log likelihood = {res:-138.15466}  
Iteration 2:{space 2}Log likelihood = {res:-138.12224}  
Iteration 3:{space 2}Log likelihood = {res: -138.1222}  
Iteration 4:{space 2}Log likelihood = {res: -138.1222}  
{res}
{txt}{col 1}Random-effects logistic regression{col 54}{lalign 16:Number of obs}{col 70} = {res}{ralign 6:442}
{txt}{col 1}{txt}Group variable: {res}cowcode{txt}{col 54}{lalign 16:Number of groups}{col 70} = {res}{ralign 6:20}

{txt}{col 1}Random effects u_i ~ {txt:Gaussian}{col 54}Obs per group:
{col 54}{ralign 16:min}{col 70} = {res}{ralign 6:1}
{txt}{col 54}{ralign 16:avg}{col 70} = {res}{ralign 6:22.1}
{txt}{col 54}{ralign 16:max}{col 70} = {res}{ralign 6:35}

{txt}{col 1}Integration method: {res:mvaghermite}{col 54}{lalign 16:Integration pts.}{col 70} = {res}{ralign 6:12}

{txt}{col 54}{lalign 16:Wald chi2({res:48})}{col 70} = {res}{ralign 6:42.59}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 9:-138.1222}{txt}{col 54}{lalign 16:Prob > chi2}{col 70} = {res}{ralign 6:0.6933}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     end1_sv{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}1.legis11 {c |}{col 14}{res}{space 2}-1.773424{col 26}{space 2} .6726121{col 37}{space 1}   -2.64{col 46}{space 3}0.008{col 54}{space 4}-3.091719{col 67}{space 3}-.4551281
{txt}{space 8}frag {c |}{col 14}{res}{space 2}-.4855674{col 26}{space 2} .7880454{col 37}{space 1}   -0.62{col 46}{space 3}0.538{col 54}{space 4}-2.030108{col 67}{space 3} 1.058973
{txt}{space 6}unrest {c |}{col 14}{res}{space 2} .0848575{col 26}{space 2} .0595427{col 37}{space 1}    1.43{col 46}{space 3}0.154{col 54}{space 4}-.0318441{col 67}{space 3}  .201559
{txt}{space 4}personal {c |}{col 14}{res}{space 2}-.5514965{col 26}{space 2} .5620707{col 37}{space 1}   -0.98{col 46}{space 3}0.327{col 54}{space 4}-1.653135{col 67}{space 3} .5501419
{txt}{space 2}e_miinterc {c |}{col 14}{res}{space 2} 1.002411{col 26}{space 2} .4448395{col 37}{space 1}    2.25{col 46}{space 3}0.024{col 54}{space 4} .1305415{col 67}{space 3}  1.87428
{txt}{space 2}e_miinteco {c |}{col 14}{res}{space 2} .1107599{col 26}{space 2} 1.064541{col 37}{space 1}    0.10{col 46}{space 3}0.917{col 54}{space 4}-1.975703{col 67}{space 3} 2.197222
{txt}{space 8}pgdp {c |}{col 14}{res}{space 2} .0426317{col 26}{space 2} .1821134{col 37}{space 1}    0.23{col 46}{space 3}0.815{col 54}{space 4}-.3143041{col 67}{space 3} .3995675
{txt}{space 7}gpgdp {c |}{col 14}{res}{space 2}-8.327857{col 26}{space 2}  4.07267{col 37}{space 1}   -2.04{col 46}{space 3}0.041{col 54}{space 4}-16.31014{col 67}{space 3}-.3455696
{txt}{space 6}oilmin {c |}{col 14}{res}{space 2} .0604113{col 26}{space 2} .7220302{col 37}{space 1}    0.08{col 46}{space 3}0.933{col 54}{space 4}-1.354742{col 67}{space 3} 1.475565
{txt}{space 8}popm {c |}{col 14}{res}{space 2}-.0343988{col 26}{space 2} .0283515{col 37}{space 1}   -1.21{col 46}{space 3}0.225{col 54}{space 4}-.0899667{col 67}{space 3}  .021169
{txt}{space 8}enph {c |}{col 14}{res}{space 2} .7805399{col 26}{space 2} .2784462{col 37}{space 1}    2.80{col 46}{space 3}0.005{col 54}{space 4} .2347954{col 67}{space 3} 1.326284
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}1945  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1946  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1947  {c |}{col 14}{res}{space 2} 1.131204{col 26}{space 2} 2.364928{col 37}{space 1}    0.48{col 46}{space 3}0.632{col 54}{space 4} -3.50397{col 67}{space 3} 5.766379
{txt}{space 7}1948  {c |}{col 14}{res}{space 2}-.3811414{col 26}{space 2} 2.452919{col 37}{space 1}   -0.16{col 46}{space 3}0.877{col 54}{space 4}-5.188775{col 67}{space 3} 4.426492
{txt}{space 7}1949  {c |}{col 14}{res}{space 2} .3572536{col 26}{space 2} 2.299522{col 37}{space 1}    0.16{col 46}{space 3}0.877{col 54}{space 4}-4.149727{col 67}{space 3} 4.864234
{txt}{space 7}1950  {c |}{col 14}{res}{space 2} 1.594993{col 26}{space 2} 2.246956{col 37}{space 1}    0.71{col 46}{space 3}0.478{col 54}{space 4} -2.80896{col 67}{space 3} 5.998945
{txt}{space 7}1951  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1952  {c |}{col 14}{res}{space 2} .1082332{col 26}{space 2} 2.302732{col 37}{space 1}    0.05{col 46}{space 3}0.963{col 54}{space 4}-4.405039{col 67}{space 3} 4.621505
{txt}{space 7}1953  {c |}{col 14}{res}{space 2} -.820044{col 26}{space 2} 2.437351{col 37}{space 1}   -0.34{col 46}{space 3}0.737{col 54}{space 4}-5.597164{col 67}{space 3} 3.957076
{txt}{space 7}1954  {c |}{col 14}{res}{space 2}-.4808864{col 26}{space 2} 2.442958{col 37}{space 1}   -0.20{col 46}{space 3}0.844{col 54}{space 4}-5.268996{col 67}{space 3} 4.307223
{txt}{space 7}1955  {c |}{col 14}{res}{space 2}-.5650594{col 26}{space 2} 2.439598{col 37}{space 1}   -0.23{col 46}{space 3}0.817{col 54}{space 4}-5.346584{col 67}{space 3} 4.216465
{txt}{space 7}1956  {c |}{col 14}{res}{space 2}-.2387067{col 26}{space 2} 2.286572{col 37}{space 1}   -0.10{col 46}{space 3}0.917{col 54}{space 4}-4.720306{col 67}{space 3} 4.242893
{txt}{space 7}1957  {c |}{col 14}{res}{space 2}-.0048523{col 26}{space 2} 2.342843{col 37}{space 1}   -0.00{col 46}{space 3}0.998{col 54}{space 4} -4.59674{col 67}{space 3} 4.587036
{txt}{space 7}1958  {c |}{col 14}{res}{space 2} .0371493{col 26}{space 2} 2.321878{col 37}{space 1}    0.02{col 46}{space 3}0.987{col 54}{space 4}-4.513648{col 67}{space 3} 4.587947
{txt}{space 7}1959  {c |}{col 14}{res}{space 2}-.7543696{col 26}{space 2} 2.507779{col 37}{space 1}   -0.30{col 46}{space 3}0.764{col 54}{space 4}-5.669527{col 67}{space 3} 4.160787
{txt}{space 7}1960  {c |}{col 14}{res}{space 2} .3019259{col 26}{space 2} 2.461618{col 37}{space 1}    0.12{col 46}{space 3}0.902{col 54}{space 4}-4.522757{col 67}{space 3} 5.126609
{txt}{space 7}1961  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1962  {c |}{col 14}{res}{space 2} .3932332{col 26}{space 2} 2.449291{col 37}{space 1}    0.16{col 46}{space 3}0.872{col 54}{space 4}-4.407289{col 67}{space 3} 5.193755
{txt}{space 7}1963  {c |}{col 14}{res}{space 2} .1720358{col 26}{space 2} 2.281794{col 37}{space 1}    0.08{col 46}{space 3}0.940{col 54}{space 4}-4.300198{col 67}{space 3} 4.644269
{txt}{space 7}1964  {c |}{col 14}{res}{space 2}-.4306817{col 26}{space 2} 2.446002{col 37}{space 1}   -0.18{col 46}{space 3}0.860{col 54}{space 4}-5.224757{col 67}{space 3} 4.363394
{txt}{space 7}1965  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1966  {c |}{col 14}{res}{space 2} .0309324{col 26}{space 2} 2.340809{col 37}{space 1}    0.01{col 46}{space 3}0.989{col 54}{space 4} -4.55697{col 67}{space 3} 4.618834
{txt}{space 7}1967  {c |}{col 14}{res}{space 2}-.5629904{col 26}{space 2}  2.42163{col 37}{space 1}   -0.23{col 46}{space 3}0.816{col 54}{space 4}-5.309299{col 67}{space 3} 4.183318
{txt}{space 7}1968  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1969  {c |}{col 14}{res}{space 2}-.9711811{col 26}{space 2} 2.470012{col 37}{space 1}   -0.39{col 46}{space 3}0.694{col 54}{space 4}-5.812316{col 67}{space 3} 3.869954
{txt}{space 7}1970  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1971  {c |}{col 14}{res}{space 2}-.6856292{col 26}{space 2} 2.416812{col 37}{space 1}   -0.28{col 46}{space 3}0.777{col 54}{space 4}-5.422494{col 67}{space 3} 4.051235
{txt}{space 7}1972  {c |}{col 14}{res}{space 2}  .145855{col 26}{space 2} 2.313776{col 37}{space 1}    0.06{col 46}{space 3}0.950{col 54}{space 4}-4.389062{col 67}{space 3} 4.680772
{txt}{space 7}1973  {c |}{col 14}{res}{space 2} -.619122{col 26}{space 2} 2.418261{col 37}{space 1}   -0.26{col 46}{space 3}0.798{col 54}{space 4}-5.358826{col 67}{space 3} 4.120582
{txt}{space 7}1974  {c |}{col 14}{res}{space 2}-.9043772{col 26}{space 2} 2.423117{col 37}{space 1}   -0.37{col 46}{space 3}0.709{col 54}{space 4}-5.653599{col 67}{space 3} 3.844845
{txt}{space 7}1975  {c |}{col 14}{res}{space 2}-1.044846{col 26}{space 2} 2.414811{col 37}{space 1}   -0.43{col 46}{space 3}0.665{col 54}{space 4}-5.777789{col 67}{space 3} 3.688096
{txt}{space 7}1976  {c |}{col 14}{res}{space 2}-.8205687{col 26}{space 2} 2.420671{col 37}{space 1}   -0.34{col 46}{space 3}0.735{col 54}{space 4}-5.564996{col 67}{space 3} 3.923859
{txt}{space 7}1977  {c |}{col 14}{res}{space 2} -1.12664{col 26}{space 2} 2.418011{col 37}{space 1}   -0.47{col 46}{space 3}0.641{col 54}{space 4}-5.865855{col 67}{space 3} 3.612574
{txt}{space 7}1978  {c |}{col 14}{res}{space 2}  -1.6102{col 26}{space 2} 2.436371{col 37}{space 1}   -0.66{col 46}{space 3}0.509{col 54}{space 4}-6.385399{col 67}{space 3}    3.165
{txt}{space 7}1979  {c |}{col 14}{res}{space 2} .0232287{col 26}{space 2}  2.32106{col 37}{space 1}    0.01{col 46}{space 3}0.992{col 54}{space 4}-4.525965{col 67}{space 3} 4.572423
{txt}{space 7}1980  {c |}{col 14}{res}{space 2}-.1155539{col 26}{space 2} 2.345084{col 37}{space 1}   -0.05{col 46}{space 3}0.961{col 54}{space 4}-4.711834{col 67}{space 3} 4.480726
{txt}{space 7}1981  {c |}{col 14}{res}{space 2}-1.299376{col 26}{space 2}  2.45268{col 37}{space 1}   -0.53{col 46}{space 3}0.596{col 54}{space 4}-6.106541{col 67}{space 3} 3.507788
{txt}{space 7}1982  {c |}{col 14}{res}{space 2}-.0787399{col 26}{space 2} 2.310538{col 37}{space 1}   -0.03{col 46}{space 3}0.973{col 54}{space 4}-4.607311{col 67}{space 3} 4.449831
{txt}{space 7}1983  {c |}{col 14}{res}{space 2}-.2806891{col 26}{space 2} 2.336307{col 37}{space 1}   -0.12{col 46}{space 3}0.904{col 54}{space 4}-4.859766{col 67}{space 3} 4.298388
{txt}{space 7}1984  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1985  {c |}{col 14}{res}{space 2}-.2880924{col 26}{space 2} 2.462212{col 37}{space 1}   -0.12{col 46}{space 3}0.907{col 54}{space 4}-5.113938{col 67}{space 3} 4.537753
{txt}{space 7}1986  {c |}{col 14}{res}{space 2} 1.491742{col 26}{space 2} 2.355931{col 37}{space 1}    0.63{col 46}{space 3}0.527{col 54}{space 4}-3.125799{col 67}{space 3} 6.109283
{txt}{space 7}1987  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1988  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1989  {c |}{col 14}{res}{space 2} .1352492{col 26}{space 2}   2.5581{col 37}{space 1}    0.05{col 46}{space 3}0.958{col 54}{space 4}-4.878534{col 67}{space 3} 5.149032
{txt}{space 7}1990  {c |}{col 14}{res}{space 2} 2.309674{col 26}{space 2}  2.49353{col 37}{space 1}    0.93{col 46}{space 3}0.354{col 54}{space 4}-2.577556{col 67}{space 3} 7.196904
{txt}{space 7}1991  {c |}{col 14}{res}{space 2} .9131953{col 26}{space 2} 3.390825{col 37}{space 1}    0.27{col 46}{space 3}0.788{col 54}{space 4}-5.732701{col 67}{space 3} 7.559091
{txt}{space 7}1992  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1993  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1994  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}1995  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1996  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1997  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1998  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1999  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}2000  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}2001  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}2002  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}2003  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}2004  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}2005  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}2006  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}2007  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-1.574395{col 26}{space 2} 2.245802{col 37}{space 1}   -0.70{col 46}{space 3}0.483{col 54}{space 4}-5.976086{col 67}{space 3} 2.827296
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}/lnsig2u {c |}{col 14}{res}{space 2}-.0855774{col 26}{space 2} .6834257{col 54}{space 4}-1.425067{col 67}{space 3} 1.253912
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |}{col 14}{res}{space 2} .9581138{col 26}{space 2} .3273998{col 54}{space 4} .4904002{col 67}{space 3} 1.871904
{txt}         rho {c |}{col 14}{res}{space 2} .2181594{col 26}{space 2} .1165691{col 54}{space 4} .0681212{col 67}{space 3}  .515761
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{txt}LR test of rho=0: {help j_chibar##|_new:chibar2(01) = }{res}8.15{col 56}{txt}Prob >= chibar2 = {res}0.002
{txt}
{com}.     estimates store A126
{txt}
{com}. 
. esttab A121 A122 A123 A124 A125 A126 using "TableA12.rtf", ///
>     cell(b(star fmt(%9.2f)) se(par)) ///
>         drop(0.legis11 *.year lnsig2u) ///    
>         stats(N ll, fmt(%9.0g %9.3f) labels("N" "Log-L")) ///
>     starlevels(* 0.05 ** 0.01) ///
>     o(enph 1.legis11 personal frag unrest personal e_miinterc e_miinteco pgdp gpgdp oilmin popm) ///
>     legend label varlabels(_cons Constant) ///
>     title("Table A12. End of Regime: Fixed Effects Models") replace
{res}{txt}{p 0 4 2}
(file {bf}
TableA12.rtf{rm}
not found)
{p_end}
{res}{txt}(output written to {browse  `"TableA12.rtf"'})

{com}. 
. ************* Table A13: Fixed Effects, Democratization Models
. eststo clear
{txt}
{com}. ** GWF
. * Correct age
. replace age  = age_gwf
{txt}(522 real changes made)

{com}. replace age2 = age2_gwf
{txt}(522 real changes made)

{com}. replace age3 = age3_gwf
{txt}(522 real changes made)

{com}. * Country FE
. xtlogit gwf_democratization  $controlsFE age2 age3 age c.enph           if a_1 == 1, fe
{txt}note: multiple positive outcomes within groups encountered.
note: 7 groups (258 obs) omitted because of all positive or
      all negative outcomes.
{res}
{txt}Iteration 0:{space 2}Log likelihood = {res:-58.325836}  
Iteration 1:{space 2}Log likelihood = {res:-56.334832}  
Iteration 2:{space 2}Log likelihood = {res: -55.80955}  
Iteration 3:{space 2}Log likelihood = {res:-55.787923}  
Iteration 4:{space 2}Log likelihood = {res:-55.787881}  
Iteration 5:{space 2}Log likelihood = {res:-55.787881}  
{res}
{txt}{col 1}Conditional fixed-effects logistic regression{col 54}{lalign 16:Number of obs}{col 70} = {res}{ralign 6:316}
{txt}{col 1}{txt}Group variable: {res}cowcode{txt}{col 54}{lalign 16:Number of groups}{col 70} = {res}{ralign 6:13}

{txt}{col 54}Obs per group:
{col 54}{ralign 16:min}{col 70} = {res}{ralign 6:9}
{txt}{col 54}{ralign 16:avg}{col 70} = {res}{ralign 6:24.3}
{txt}{col 54}{ralign 16:max}{col 70} = {res}{ralign 6:54}

{txt}{col 54}{lalign 16:LR chi2({res:14})}{col 70} = {res}{ralign 6:30.97}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-55.787881}{txt}{col 54}{lalign 16:Prob > chi2}{col 70} = {res}{ralign 6:0.0056}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}gwf_democr~n{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}1.legis11 {c |}{col 14}{res}{space 2}-1.443229{col 26}{space 2} 1.109406{col 37}{space 1}   -1.30{col 46}{space 3}0.193{col 54}{space 4}-3.617626{col 67}{space 3}  .731167
{txt}{space 8}frag {c |}{col 14}{res}{space 2}-.6094051{col 26}{space 2} .9841726{col 37}{space 1}   -0.62{col 46}{space 3}0.536{col 54}{space 4}-2.538348{col 67}{space 3} 1.319538
{txt}{space 6}unrest {c |}{col 14}{res}{space 2} .0318425{col 26}{space 2} .0671894{col 37}{space 1}    0.47{col 46}{space 3}0.636{col 54}{space 4}-.0998463{col 67}{space 3} .1635313
{txt}{space 4}personal {c |}{col 14}{res}{space 2}-1.806928{col 26}{space 2} 1.047743{col 37}{space 1}   -1.72{col 46}{space 3}0.085{col 54}{space 4}-3.860467{col 67}{space 3} .2466101
{txt}{space 2}e_miinterc {c |}{col 14}{res}{space 2} 1.127842{col 26}{space 2} .7302514{col 37}{space 1}    1.54{col 46}{space 3}0.122{col 54}{space 4}-.3034249{col 67}{space 3} 2.559108
{txt}{space 2}e_miinteco {c |}{col 14}{res}{space 2} 1.310094{col 26}{space 2} 1.096871{col 37}{space 1}    1.19{col 46}{space 3}0.232{col 54}{space 4}-.8397348{col 67}{space 3} 3.459922
{txt}{space 8}pgdp {c |}{col 14}{res}{space 2}-.6235985{col 26}{space 2} .6675417{col 37}{space 1}   -0.93{col 46}{space 3}0.350{col 54}{space 4}-1.931956{col 67}{space 3} .6847592
{txt}{space 7}gpgdp {c |}{col 14}{res}{space 2} 4.437072{col 26}{space 2} 5.171776{col 37}{space 1}    0.86{col 46}{space 3}0.391{col 54}{space 4}-5.699423{col 67}{space 3} 14.57357
{txt}{space 6}oilmin {c |}{col 14}{res}{space 2}-.7946881{col 26}{space 2} 1.525047{col 37}{space 1}   -0.52{col 46}{space 3}0.602{col 54}{space 4}-3.783725{col 67}{space 3} 2.194348
{txt}{space 8}popm {c |}{col 14}{res}{space 2} .1620444{col 26}{space 2} .1076881{col 37}{space 1}    1.50{col 46}{space 3}0.132{col 54}{space 4}-.0490204{col 67}{space 3} .3731091
{txt}{space 8}age2 {c |}{col 14}{res}{space 2}-.0123445{col 26}{space 2} .0130568{col 37}{space 1}   -0.95{col 46}{space 3}0.344{col 54}{space 4}-.0379353{col 67}{space 3} .0132463
{txt}{space 8}age3 {c |}{col 14}{res}{space 2}  .000109{col 26}{space 2} .0002166{col 37}{space 1}    0.50{col 46}{space 3}0.615{col 54}{space 4}-.0003156{col 67}{space 3} .0005336
{txt}{space 9}age {c |}{col 14}{res}{space 2} .3361452{col 26}{space 2} .2037738{col 37}{space 1}    1.65{col 46}{space 3}0.099{col 54}{space 4}-.0632442{col 67}{space 3} .7355345
{txt}{space 8}enph {c |}{col 14}{res}{space 2} .8527989{col 26}{space 2} .3511087{col 37}{space 1}    2.43{col 46}{space 3}0.015{col 54}{space 4} .1646384{col 67}{space 3} 1.540959
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.     estimates store A131
{txt}
{com}. * Year FE
. xtlogit gwf_democratization $controlsFE c.enph i.year    if a_1 == 1
{txt}note: {bf:1945.year} != 0 predicts failure perfectly;
      {bf:1945.year} omitted and 13 obs not used.

note: {bf:1947.year} != 0 predicts failure perfectly;
      {bf:1947.year} omitted and 8 obs not used.

note: {bf:1950.year} != 0 predicts failure perfectly;
      {bf:1950.year} omitted and 12 obs not used.

note: {bf:1951.year} != 0 predicts failure perfectly;
      {bf:1951.year} omitted and 12 obs not used.

note: {bf:1953.year} != 0 predicts failure perfectly;
      {bf:1953.year} omitted and 14 obs not used.

note: {bf:1954.year} != 0 predicts failure perfectly;
      {bf:1954.year} omitted and 14 obs not used.

note: {bf:1959.year} != 0 predicts failure perfectly;
      {bf:1959.year} omitted and 9 obs not used.

note: {bf:1960.year} != 0 predicts failure perfectly;
      {bf:1960.year} omitted and 8 obs not used.

note: {bf:1961.year} != 0 predicts failure perfectly;
      {bf:1961.year} omitted and 8 obs not used.

note: {bf:1964.year} != 0 predicts failure perfectly;
      {bf:1964.year} omitted and 10 obs not used.

note: {bf:1965.year} != 0 predicts failure perfectly;
      {bf:1965.year} omitted and 12 obs not used.

note: {bf:1966.year} != 0 predicts failure perfectly;
      {bf:1966.year} omitted and 12 obs not used.

note: {bf:1967.year} != 0 predicts failure perfectly;
      {bf:1967.year} omitted and 13 obs not used.

note: {bf:1969.year} != 0 predicts failure perfectly;
      {bf:1969.year} omitted and 14 obs not used.

note: {bf:1970.year} != 0 predicts failure perfectly;
      {bf:1970.year} omitted and 14 obs not used.

note: {bf:1972.year} != 0 predicts failure perfectly;
      {bf:1972.year} omitted and 14 obs not used.

note: {bf:1974.year} != 0 predicts failure perfectly;
      {bf:1974.year} omitted and 16 obs not used.

note: {bf:1975.year} != 0 predicts failure perfectly;
      {bf:1975.year} omitted and 16 obs not used.

note: {bf:1976.year} != 0 predicts failure perfectly;
      {bf:1976.year} omitted and 16 obs not used.

note: {bf:1977.year} != 0 predicts failure perfectly;
      {bf:1977.year} omitted and 17 obs not used.

note: {bf:1986.year} != 0 predicts failure perfectly;
      {bf:1986.year} omitted and 7 obs not used.

note: {bf:1987.year} != 0 predicts failure perfectly;
      {bf:1987.year} omitted and 6 obs not used.

note: {bf:1988.year} != 0 predicts failure perfectly;
      {bf:1988.year} omitted and 6 obs not used.

note: {bf:1991.year} != 0 predicts failure perfectly;
      {bf:1991.year} omitted and 2 obs not used.

note: {bf:1992.year} != 0 predicts failure perfectly;
      {bf:1992.year} omitted and 2 obs not used.

note: {bf:1993.year} != 0 predicts failure perfectly;
      {bf:1993.year} omitted and 3 obs not used.

note: {bf:1995.year} != 0 predicts failure perfectly;
      {bf:1995.year} omitted and 3 obs not used.

note: {bf:1996.year} != 0 predicts failure perfectly;
      {bf:1996.year} omitted and 1 obs not used.

note: {bf:1997.year} != 0 predicts failure perfectly;
      {bf:1997.year} omitted and 1 obs not used.

note: {bf:1998.year} != 0 predicts failure perfectly;
      {bf:1998.year} omitted and 1 obs not used.

note: {bf:1999.year} != 0 predicts failure perfectly;
      {bf:1999.year} omitted and 1 obs not used.

note: {bf:2000.year} != 0 predicts failure perfectly;
      {bf:2000.year} omitted and 2 obs not used.

note: {bf:2001.year} != 0 predicts failure perfectly;
      {bf:2001.year} omitted and 2 obs not used.

note: {bf:2002.year} != 0 predicts failure perfectly;
      {bf:2002.year} omitted and 2 obs not used.

note: {bf:2003.year} != 0 predicts failure perfectly;
      {bf:2003.year} omitted and 2 obs not used.

note: {bf:2004.year} != 0 predicts failure perfectly;
      {bf:2004.year} omitted and 2 obs not used.

note: {bf:2005.year} != 0 predicts failure perfectly;
      {bf:2005.year} omitted and 2 obs not used.

note: {bf:2007.year} != 0 predicts failure perfectly;
      {bf:2007.year} omitted and 1 obs not used.

note: {bf:2006.year} omitted because of collinearity.

Fitting comparison model:

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-88.397272}  
Iteration 1:{space 2}Log likelihood = {res:-76.567028}  
Iteration 2:{space 2}Log likelihood = {res:-75.046475}  
Iteration 3:{space 2}Log likelihood = {res:-69.365786}  
Iteration 4:{space 2}Log likelihood = {res:-68.281173}  
Iteration 5:{space 2}Log likelihood = {res:-68.243631}  
Iteration 6:{space 2}Log likelihood = {res:-68.243458}  
Iteration 7:{space 2}Log likelihood = {res:-68.243458}  
{res}
{txt}Fitting full model:

tau = {res} 0.0    {txt}Log likelihood = {res}-68.243458
{txt}tau = {res} 0.1    {txt}Log likelihood = {res}-67.899302
{txt}tau = {res} 0.2    {txt}Log likelihood = {res}-67.645673
{txt}tau = {res} 0.3    {txt}Log likelihood = {res}-67.503626
{txt}tau = {res} 0.4    {txt}Log likelihood = {res}-67.500973
{txt}tau = {res} 0.5    {txt}Log likelihood = {res} -67.67875

{txt}Iteration 0:{space 2}Log likelihood = {res:-67.501037}  
Iteration 1:{space 2}Log likelihood = {res:-66.552867}  
Iteration 2:{space 2}Log likelihood = {res:-66.491204}  
Iteration 3:{space 2}Log likelihood = {res: -66.49059}  
Iteration 4:{space 2}Log likelihood = {res: -66.49059}  
{res}
{txt}{col 1}Random-effects logistic regression{col 54}{lalign 16:Number of obs}{col 70} = {res}{ralign 6:276}
{txt}{col 1}{txt}Group variable: {res}cowcode{txt}{col 54}{lalign 16:Number of groups}{col 70} = {res}{ralign 6:20}

{txt}{col 1}Random effects u_i ~ {txt:Gaussian}{col 54}Obs per group:
{col 54}{ralign 16:min}{col 70} = {res}{ralign 6:1}
{txt}{col 54}{ralign 16:avg}{col 70} = {res}{ralign 6:13.8}
{txt}{col 54}{ralign 16:max}{col 70} = {res}{ralign 6:22}

{txt}{col 1}Integration method: {res:mvaghermite}{col 54}{lalign 16:Integration pts.}{col 70} = {res}{ralign 6:12}

{txt}{col 54}{lalign 16:Wald chi2({res:35})}{col 70} = {res}{ralign 6:23.58}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 9:-66.49059}{txt}{col 54}{lalign 16:Prob > chi2}{col 70} = {res}{ralign 6:0.9290}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}gwf_democr~n{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}1.legis11 {c |}{col 14}{res}{space 2}-2.126211{col 26}{space 2} 1.101246{col 37}{space 1}   -1.93{col 46}{space 3}0.054{col 54}{space 4}-4.284613{col 67}{space 3} .0321923
{txt}{space 8}frag {c |}{col 14}{res}{space 2}-.0874063{col 26}{space 2} 1.106068{col 37}{space 1}   -0.08{col 46}{space 3}0.937{col 54}{space 4} -2.25526{col 67}{space 3} 2.080447
{txt}{space 6}unrest {c |}{col 14}{res}{space 2} .1072541{col 26}{space 2} .0893999{col 37}{space 1}    1.20{col 46}{space 3}0.230{col 54}{space 4}-.0679666{col 67}{space 3} .2824747
{txt}{space 4}personal {c |}{col 14}{res}{space 2}-.5809572{col 26}{space 2} .9794797{col 37}{space 1}   -0.59{col 46}{space 3}0.553{col 54}{space 4}-2.500702{col 67}{space 3} 1.338788
{txt}{space 2}e_miinterc {c |}{col 14}{res}{space 2} -.526612{col 26}{space 2} .8157557{col 37}{space 1}   -0.65{col 46}{space 3}0.519{col 54}{space 4}-2.125464{col 67}{space 3}  1.07224
{txt}{space 2}e_miinteco {c |}{col 14}{res}{space 2} 3.424969{col 26}{space 2} 1.756228{col 37}{space 1}    1.95{col 46}{space 3}0.051{col 54}{space 4}-.0171744{col 67}{space 3} 6.867112
{txt}{space 8}pgdp {c |}{col 14}{res}{space 2}-.0223659{col 26}{space 2}  .249629{col 37}{space 1}   -0.09{col 46}{space 3}0.929{col 54}{space 4}-.5116298{col 67}{space 3}  .466898
{txt}{space 7}gpgdp {c |}{col 14}{res}{space 2} 1.646156{col 26}{space 2} 7.066222{col 37}{space 1}    0.23{col 46}{space 3}0.816{col 54}{space 4}-12.20338{col 67}{space 3}  15.4957
{txt}{space 6}oilmin {c |}{col 14}{res}{space 2} .3697051{col 26}{space 2} 1.092479{col 37}{space 1}    0.34{col 46}{space 3}0.735{col 54}{space 4}-1.771514{col 67}{space 3} 2.510924
{txt}{space 8}popm {c |}{col 14}{res}{space 2}-.0022395{col 26}{space 2} .0155643{col 37}{space 1}   -0.14{col 46}{space 3}0.886{col 54}{space 4} -.032745{col 67}{space 3} .0282659
{txt}{space 8}enph {c |}{col 14}{res}{space 2} 1.216795{col 26}{space 2} .4234756{col 37}{space 1}    2.87{col 46}{space 3}0.004{col 54}{space 4} .3867984{col 67}{space 3} 2.046792
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}1945  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1946  {c |}{col 14}{res}{space 2}-3.898091{col 26}{space 2} 2.471115{col 37}{space 1}   -1.58{col 46}{space 3}0.115{col 54}{space 4}-8.741387{col 67}{space 3} .9452049
{txt}{space 7}1947  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1948  {c |}{col 14}{res}{space 2}-4.204563{col 26}{space 2} 2.694861{col 37}{space 1}   -1.56{col 46}{space 3}0.119{col 54}{space 4}-9.486394{col 67}{space 3} 1.077269
{txt}{space 7}1949  {c |}{col 14}{res}{space 2}-4.949951{col 26}{space 2} 2.675325{col 37}{space 1}   -1.85{col 46}{space 3}0.064{col 54}{space 4}-10.19349{col 67}{space 3}   .29359
{txt}{space 7}1950  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1951  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1952  {c |}{col 14}{res}{space 2}-4.828697{col 26}{space 2} 2.781297{col 37}{space 1}   -1.74{col 46}{space 3}0.083{col 54}{space 4}-10.27994{col 67}{space 3}  .622544
{txt}{space 7}1953  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1954  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1955  {c |}{col 14}{res}{space 2}-3.488692{col 26}{space 2} 2.433468{col 37}{space 1}   -1.43{col 46}{space 3}0.152{col 54}{space 4}-8.258202{col 67}{space 3} 1.280819
{txt}{space 7}1956  {c |}{col 14}{res}{space 2} -4.16038{col 26}{space 2} 2.506929{col 37}{space 1}   -1.66{col 46}{space 3}0.097{col 54}{space 4} -9.07387{col 67}{space 3} .7531097
{txt}{space 7}1957  {c |}{col 14}{res}{space 2}-4.871855{col 26}{space 2} 2.703139{col 37}{space 1}   -1.80{col 46}{space 3}0.071{col 54}{space 4}-10.16991{col 67}{space 3} .4261998
{txt}{space 7}1958  {c |}{col 14}{res}{space 2}-2.328999{col 26}{space 2} 2.286138{col 37}{space 1}   -1.02{col 46}{space 3}0.308{col 54}{space 4}-6.809747{col 67}{space 3} 2.151749
{txt}{space 7}1959  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1960  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1961  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1962  {c |}{col 14}{res}{space 2}-2.087315{col 26}{space 2}  2.30416{col 37}{space 1}   -0.91{col 46}{space 3}0.365{col 54}{space 4}-6.603385{col 67}{space 3} 2.428755
{txt}{space 7}1963  {c |}{col 14}{res}{space 2}-5.013246{col 26}{space 2} 2.775765{col 37}{space 1}   -1.81{col 46}{space 3}0.071{col 54}{space 4}-10.45365{col 67}{space 3}  .427154
{txt}{space 7}1964  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1965  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1966  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1967  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1968  {c |}{col 14}{res}{space 2}-5.298758{col 26}{space 2} 2.933913{col 37}{space 1}   -1.81{col 46}{space 3}0.071{col 54}{space 4}-11.04912{col 67}{space 3} .4516057
{txt}{space 7}1969  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1970  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1971  {c |}{col 14}{res}{space 2}-3.981318{col 26}{space 2} 2.389278{col 37}{space 1}   -1.67{col 46}{space 3}0.096{col 54}{space 4}-8.664217{col 67}{space 3} .7015812
{txt}{space 7}1972  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1973  {c |}{col 14}{res}{space 2}-4.240497{col 26}{space 2} 2.394535{col 37}{space 1}   -1.77{col 46}{space 3}0.077{col 54}{space 4}-8.933698{col 67}{space 3} .4527052
{txt}{space 7}1974  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1975  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1976  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1977  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1978  {c |}{col 14}{res}{space 2}-4.296031{col 26}{space 2}  2.39878{col 37}{space 1}   -1.79{col 46}{space 3}0.073{col 54}{space 4}-8.997553{col 67}{space 3} .4054915
{txt}{space 7}1979  {c |}{col 14}{res}{space 2}-3.954616{col 26}{space 2} 2.339826{col 37}{space 1}   -1.69{col 46}{space 3}0.091{col 54}{space 4} -8.54059{col 67}{space 3} .6313582
{txt}{space 7}1980  {c |}{col 14}{res}{space 2}-3.856869{col 26}{space 2} 2.356781{col 37}{space 1}   -1.64{col 46}{space 3}0.102{col 54}{space 4}-8.476075{col 67}{space 3} .7623361
{txt}{space 7}1981  {c |}{col 14}{res}{space 2}-3.735542{col 26}{space 2} 2.389586{col 37}{space 1}   -1.56{col 46}{space 3}0.118{col 54}{space 4}-8.419044{col 67}{space 3} .9479599
{txt}{space 7}1982  {c |}{col 14}{res}{space 2}-4.677943{col 26}{space 2}  2.69769{col 37}{space 1}   -1.73{col 46}{space 3}0.083{col 54}{space 4}-9.965318{col 67}{space 3} .6094327
{txt}{space 7}1983  {c |}{col 14}{res}{space 2}-3.450872{col 26}{space 2} 2.458058{col 37}{space 1}   -1.40{col 46}{space 3}0.160{col 54}{space 4}-8.268577{col 67}{space 3} 1.366833
{txt}{space 7}1984  {c |}{col 14}{res}{space 2}-3.466251{col 26}{space 2} 2.389885{col 37}{space 1}   -1.45{col 46}{space 3}0.147{col 54}{space 4}-8.150339{col 67}{space 3} 1.217837
{txt}{space 7}1985  {c |}{col 14}{res}{space 2}-3.959735{col 26}{space 2} 2.387952{col 37}{space 1}   -1.66{col 46}{space 3}0.097{col 54}{space 4}-8.640035{col 67}{space 3} .7205661
{txt}{space 7}1986  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1987  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1988  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1989  {c |}{col 14}{res}{space 2}-1.472332{col 26}{space 2} 2.312048{col 37}{space 1}   -0.64{col 46}{space 3}0.524{col 54}{space 4}-6.003863{col 67}{space 3} 3.059199
{txt}{space 7}1990  {c |}{col 14}{res}{space 2}-2.625238{col 26}{space 2} 2.442947{col 37}{space 1}   -1.07{col 46}{space 3}0.283{col 54}{space 4}-7.413326{col 67}{space 3} 2.162851
{txt}{space 7}1991  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1992  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1993  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1994  {c |}{col 14}{res}{space 2}-4.112545{col 26}{space 2} 3.052491{col 37}{space 1}   -1.35{col 46}{space 3}0.178{col 54}{space 4}-10.09532{col 67}{space 3} 1.870227
{txt}{space 7}1995  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1996  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1997  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1998  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1999  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}2000  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}2001  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}2002  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}2003  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}2004  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}2005  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}2006  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}2007  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} .8677165{col 26}{space 2} 2.130793{col 37}{space 1}    0.41{col 46}{space 3}0.684{col 54}{space 4} -3.30856{col 67}{space 3} 5.043994
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}/lnsig2u {c |}{col 14}{res}{space 2} .5268842{col 26}{space 2} .9439973{col 54}{space 4}-1.323316{col 67}{space 3} 2.377085
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |}{col 14}{res}{space 2} 1.301402{col 26}{space 2} .6142599{col 54}{space 4}  .515995{col 67}{space 3} 3.282294
{txt}         rho {c |}{col 14}{res}{space 2} .3398499{col 26}{space 2} .2117876{col 54}{space 4} .0748712{col 67}{space 3} .7660674
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{txt}LR test of rho=0: {help j_chibar##|_new:chibar2(01) = }{res}3.51{col 56}{txt}Prob >= chibar2 = {res}0.031
{txt}
{com}.     estimates store A132
{txt}
{com}.         
. ** CGV
. replace age  = age_cgv
{txt}(534 real changes made)

{com}. replace age2 = age2_cgv
{txt}(534 real changes made)

{com}. replace age3 = age3_cgv
{txt}(534 real changes made)

{com}. 
. * Country FE
. xtlogit cgv_democratization  $controlsFE age2 age3 age c.enph    if a_1 == 1, fe
{txt}note: multiple positive outcomes within groups encountered.
note: 4 groups (154 obs) omitted because of all positive or
      all negative outcomes.
{res}
{txt}Iteration 0:{space 2}Log likelihood = {res:-70.036012}  
Iteration 1:{space 2}Log likelihood = {res: -64.95946}  
Iteration 2:{space 2}Log likelihood = {res:-64.616846}  
Iteration 3:{space 2}Log likelihood = {res:-64.614452}  
Iteration 4:{space 2}Log likelihood = {res:-64.614452}  
{res}
{txt}{col 1}Conditional fixed-effects logistic regression{col 54}{lalign 16:Number of obs}{col 70} = {res}{ralign 6:420}
{txt}{col 1}{txt}Group variable: {res}cowcode{txt}{col 54}{lalign 16:Number of groups}{col 70} = {res}{ralign 6:16}

{txt}{col 54}Obs per group:
{col 54}{ralign 16:min}{col 70} = {res}{ralign 6:9}
{txt}{col 54}{ralign 16:avg}{col 70} = {res}{ralign 6:26.2}
{txt}{col 54}{ralign 16:max}{col 70} = {res}{ralign 6:45}

{txt}{col 54}{lalign 16:LR chi2({res:14})}{col 70} = {res}{ralign 6:40.13}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-64.614452}{txt}{col 54}{lalign 16:Prob > chi2}{col 70} = {res}{ralign 6:0.0002}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}cgv_democr~n{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}1.legis11 {c |}{col 14}{res}{space 2} -2.68181{col 26}{space 2} 1.066081{col 37}{space 1}   -2.52{col 46}{space 3}0.012{col 54}{space 4}-4.771289{col 67}{space 3}-.5923297
{txt}{space 8}frag {c |}{col 14}{res}{space 2} .3579063{col 26}{space 2} .8378121{col 37}{space 1}    0.43{col 46}{space 3}0.669{col 54}{space 4}-1.284175{col 67}{space 3} 1.999988
{txt}{space 6}unrest {c |}{col 14}{res}{space 2}-.1076181{col 26}{space 2} .1121641{col 37}{space 1}   -0.96{col 46}{space 3}0.337{col 54}{space 4}-.3274558{col 67}{space 3} .1122196
{txt}{space 4}personal {c |}{col 14}{res}{space 2} -2.71444{col 26}{space 2}  1.23787{col 37}{space 1}   -2.19{col 46}{space 3}0.028{col 54}{space 4}-5.140621{col 67}{space 3}-.2882586
{txt}{space 2}e_miinterc {c |}{col 14}{res}{space 2} 1.397182{col 26}{space 2} .6858721{col 37}{space 1}    2.04{col 46}{space 3}0.042{col 54}{space 4} .0528977{col 67}{space 3} 2.741467
{txt}{space 2}e_miinteco {c |}{col 14}{res}{space 2}  1.55837{col 26}{space 2} 1.097821{col 37}{space 1}    1.42{col 46}{space 3}0.156{col 54}{space 4}-.5933195{col 67}{space 3}  3.71006
{txt}{space 8}pgdp {c |}{col 14}{res}{space 2}-1.063231{col 26}{space 2} .5165894{col 37}{space 1}   -2.06{col 46}{space 3}0.040{col 54}{space 4}-2.075727{col 67}{space 3}-.0507341
{txt}{space 7}gpgdp {c |}{col 14}{res}{space 2}-1.805382{col 26}{space 2} 4.649537{col 37}{space 1}   -0.39{col 46}{space 3}0.698{col 54}{space 4}-10.91831{col 67}{space 3} 7.307544
{txt}{space 6}oilmin {c |}{col 14}{res}{space 2}  1.01492{col 26}{space 2} 1.883391{col 37}{space 1}    0.54{col 46}{space 3}0.590{col 54}{space 4}-2.676459{col 67}{space 3} 4.706298
{txt}{space 8}popm {c |}{col 14}{res}{space 2} .0148936{col 26}{space 2} .0296453{col 37}{space 1}    0.50{col 46}{space 3}0.615{col 54}{space 4}-.0432101{col 67}{space 3} .0729973
{txt}{space 8}age2 {c |}{col 14}{res}{space 2} .0001343{col 26}{space 2} .0126747{col 37}{space 1}    0.01{col 46}{space 3}0.992{col 54}{space 4}-.0247076{col 67}{space 3} .0249763
{txt}{space 8}age3 {c |}{col 14}{res}{space 2}-.0000975{col 26}{space 2} .0002175{col 37}{space 1}   -0.45{col 46}{space 3}0.654{col 54}{space 4}-.0005238{col 67}{space 3} .0003289
{txt}{space 9}age {c |}{col 14}{res}{space 2} .1843726{col 26}{space 2} .1811262{col 37}{space 1}    1.02{col 46}{space 3}0.309{col 54}{space 4}-.1706282{col 67}{space 3} .5393735
{txt}{space 8}enph {c |}{col 14}{res}{space 2} .9930544{col 26}{space 2} .3455287{col 37}{space 1}    2.87{col 46}{space 3}0.004{col 54}{space 4} .3158305{col 67}{space 3} 1.670278
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.     estimates store A133
{txt}
{com}. * Year FE
. xtlogit cgv_democratization $controlsFE c.enph i.year    if a_1 == 1
{txt}note: {bf:1945.year} != 0 predicts failure perfectly;
      {bf:1945.year} omitted and 13 obs not used.

note: {bf:1947.year} != 0 predicts failure perfectly;
      {bf:1947.year} omitted and 8 obs not used.

note: {bf:1950.year} != 0 predicts failure perfectly;
      {bf:1950.year} omitted and 12 obs not used.

note: {bf:1951.year} != 0 predicts failure perfectly;
      {bf:1951.year} omitted and 12 obs not used.

note: {bf:1953.year} != 0 predicts failure perfectly;
      {bf:1953.year} omitted and 14 obs not used.

note: {bf:1954.year} != 0 predicts failure perfectly;
      {bf:1954.year} omitted and 14 obs not used.

note: {bf:1955.year} != 0 predicts failure perfectly;
      {bf:1955.year} omitted and 15 obs not used.

note: {bf:1960.year} != 0 predicts failure perfectly;
      {bf:1960.year} omitted and 8 obs not used.

note: {bf:1961.year} != 0 predicts failure perfectly;
      {bf:1961.year} omitted and 8 obs not used.

note: {bf:1962.year} != 0 predicts failure perfectly;
      {bf:1962.year} omitted and 8 obs not used.

note: {bf:1964.year} != 0 predicts failure perfectly;
      {bf:1964.year} omitted and 10 obs not used.

note: {bf:1965.year} != 0 predicts failure perfectly;
      {bf:1965.year} omitted and 12 obs not used.

note: {bf:1967.year} != 0 predicts failure perfectly;
      {bf:1967.year} omitted and 13 obs not used.

note: {bf:1968.year} != 0 predicts failure perfectly;
      {bf:1968.year} omitted and 13 obs not used.

note: {bf:1969.year} != 0 predicts failure perfectly;
      {bf:1969.year} omitted and 14 obs not used.

note: {bf:1970.year} != 0 predicts failure perfectly;
      {bf:1970.year} omitted and 14 obs not used.

note: {bf:1972.year} != 0 predicts failure perfectly;
      {bf:1972.year} omitted and 14 obs not used.

note: {bf:1974.year} != 0 predicts failure perfectly;
      {bf:1974.year} omitted and 16 obs not used.

note: {bf:1975.year} != 0 predicts failure perfectly;
      {bf:1975.year} omitted and 16 obs not used.

note: {bf:1976.year} != 0 predicts failure perfectly;
      {bf:1976.year} omitted and 16 obs not used.

note: {bf:1977.year} != 0 predicts failure perfectly;
      {bf:1977.year} omitted and 17 obs not used.

note: {bf:1978.year} != 0 predicts failure perfectly;
      {bf:1978.year} omitted and 17 obs not used.

note: {bf:1981.year} != 0 predicts failure perfectly;
      {bf:1981.year} omitted and 14 obs not used.

note: {bf:1987.year} != 0 predicts failure perfectly;
      {bf:1987.year} omitted and 6 obs not used.

note: {bf:1988.year} != 0 predicts failure perfectly;
      {bf:1988.year} omitted and 6 obs not used.

note: {bf:1991.year} != 0 predicts failure perfectly;
      {bf:1991.year} omitted and 2 obs not used.

note: {bf:1992.year} != 0 predicts failure perfectly;
      {bf:1992.year} omitted and 2 obs not used.

note: {bf:1993.year} != 0 predicts failure perfectly;
      {bf:1993.year} omitted and 3 obs not used.

note: {bf:1994.year} != 0 predicts failure perfectly;
      {bf:1994.year} omitted and 3 obs not used.

note: {bf:1995.year} != 0 predicts failure perfectly;
      {bf:1995.year} omitted and 3 obs not used.

note: {bf:1996.year} != 0 predicts failure perfectly;
      {bf:1996.year} omitted and 1 obs not used.

note: {bf:1997.year} != 0 predicts failure perfectly;
      {bf:1997.year} omitted and 1 obs not used.

note: {bf:1998.year} != 0 predicts failure perfectly;
      {bf:1998.year} omitted and 1 obs not used.

note: {bf:1999.year} != 0 predicts failure perfectly;
      {bf:1999.year} omitted and 1 obs not used.

note: {bf:2000.year} != 0 predicts failure perfectly;
      {bf:2000.year} omitted and 2 obs not used.

note: {bf:2001.year} != 0 predicts failure perfectly;
      {bf:2001.year} omitted and 2 obs not used.

note: {bf:2002.year} != 0 predicts failure perfectly;
      {bf:2002.year} omitted and 2 obs not used.

note: {bf:2003.year} != 0 predicts failure perfectly;
      {bf:2003.year} omitted and 2 obs not used.

note: {bf:2004.year} != 0 predicts failure perfectly;
      {bf:2004.year} omitted and 2 obs not used.

note: {bf:2005.year} != 0 predicts failure perfectly;
      {bf:2005.year} omitted and 2 obs not used.

note: {bf:2006.year} != 0 predicts failure perfectly;
      {bf:2006.year} omitted and 2 obs not used.

note: {bf:2007.year} != 0 predicts failure perfectly;
      {bf:2007.year} omitted and 1 obs not used.

note: {bf:1990.year} omitted because of collinearity.

Fitting comparison model:

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-93.076048}  
Iteration 1:{space 2}Log likelihood = {res:-70.861241}  
Iteration 2:{space 2}Log likelihood = {res: -63.98748}  
Iteration 3:{space 2}Log likelihood = {res:  -63.1931}  
Iteration 4:{space 2}Log likelihood = {res: -63.17298}  
Iteration 5:{space 2}Log likelihood = {res:-63.172908}  
Iteration 6:{space 2}Log likelihood = {res:-63.172908}  
{res}
{txt}Fitting full model:

tau = {res} 0.0    {txt}Log likelihood = {res}-63.172908
{txt}tau = {res} 0.1    {txt}Log likelihood = {res}-63.276886

{txt}Iteration 0:{space 2}Log likelihood = {res:-63.276886}  
Iteration 1:{space 2}Log likelihood = {res:-63.203876}  
Iteration 2:{space 2}Log likelihood = {res:-63.183598}  
Iteration 3:{space 2}Log likelihood = {res:-63.175611}  
Iteration 4:{space 2}Log likelihood = {res:-63.173561}  
Iteration 5:{space 2}Log likelihood = {res:-63.173034}  
Iteration 6:{space 2}Log likelihood = {res:-63.172937}  
Iteration 7:{space 2}Log likelihood = {res:-63.172915}  
Iteration 8:{space 2}Log likelihood = {res:-63.172913}  
{res}
{txt}{col 1}Random-effects logistic regression{col 54}{lalign 16:Number of obs}{col 70} = {res}{ralign 6:232}
{txt}{col 1}{txt}Group variable: {res}cowcode{txt}{col 54}{lalign 16:Number of groups}{col 70} = {res}{ralign 6:20}

{txt}{col 1}Random effects u_i ~ {txt:Gaussian}{col 54}Obs per group:
{col 54}{ralign 16:min}{col 70} = {res}{ralign 6:1}
{txt}{col 54}{ralign 16:avg}{col 70} = {res}{ralign 6:11.6}
{txt}{col 54}{ralign 16:max}{col 70} = {res}{ralign 6:20}

{txt}{col 1}Integration method: {res:mvaghermite}{col 54}{lalign 16:Integration pts.}{col 70} = {res}{ralign 6:12}

{txt}{col 54}{lalign 16:Wald chi2({res:31})}{col 70} = {res}{ralign 6:29.38}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-63.172913}{txt}{col 54}{lalign 16:Prob > chi2}{col 70} = {res}{ralign 6:0.5494}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}cgv_democr~n{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}1.legis11 {c |}{col 14}{res}{space 2}-4.438829{col 26}{space 2} 1.100798{col 37}{space 1}   -4.03{col 46}{space 3}0.000{col 54}{space 4}-6.596353{col 67}{space 3}-2.281305
{txt}{space 8}frag {c |}{col 14}{res}{space 2} -.771342{col 26}{space 2} .8975718{col 37}{space 1}   -0.86{col 46}{space 3}0.390{col 54}{space 4} -2.53055{col 67}{space 3} .9878664
{txt}{space 6}unrest {c |}{col 14}{res}{space 2}-.1806756{col 26}{space 2} .1242114{col 37}{space 1}   -1.45{col 46}{space 3}0.146{col 54}{space 4}-.4241255{col 67}{space 3} .0627742
{txt}{space 4}personal {c |}{col 14}{res}{space 2}-3.326119{col 26}{space 2} 1.258333{col 37}{space 1}   -2.64{col 46}{space 3}0.008{col 54}{space 4}-5.792406{col 67}{space 3} -.859832
{txt}{space 2}e_miinterc {c |}{col 14}{res}{space 2} .1473152{col 26}{space 2} .6125052{col 37}{space 1}    0.24{col 46}{space 3}0.810{col 54}{space 4}-1.053173{col 67}{space 3} 1.347803
{txt}{space 2}e_miinteco {c |}{col 14}{res}{space 2} 3.066126{col 26}{space 2} 1.470847{col 37}{space 1}    2.08{col 46}{space 3}0.037{col 54}{space 4} .1833182{col 67}{space 3} 5.948934
{txt}{space 8}pgdp {c |}{col 14}{res}{space 2} .0251253{col 26}{space 2} .1713983{col 37}{space 1}    0.15{col 46}{space 3}0.883{col 54}{space 4}-.3108091{col 67}{space 3} .3610598
{txt}{space 7}gpgdp {c |}{col 14}{res}{space 2}-1.003781{col 26}{space 2} 7.069211{col 37}{space 1}   -0.14{col 46}{space 3}0.887{col 54}{space 4}-14.85918{col 67}{space 3} 12.85162
{txt}{space 6}oilmin {c |}{col 14}{res}{space 2} .2538289{col 26}{space 2}  .714049{col 37}{space 1}    0.36{col 46}{space 3}0.722{col 54}{space 4}-1.145681{col 67}{space 3} 1.653339
{txt}{space 8}popm {c |}{col 14}{res}{space 2}  .004323{col 26}{space 2} .0094625{col 37}{space 1}    0.46{col 46}{space 3}0.648{col 54}{space 4}-.0142231{col 67}{space 3} .0228691
{txt}{space 8}enph {c |}{col 14}{res}{space 2} 1.727623{col 26}{space 2} .4345431{col 37}{space 1}    3.98{col 46}{space 3}0.000{col 54}{space 4} .8759338{col 67}{space 3} 2.579311
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}1945  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1946  {c |}{col 14}{res}{space 2} 1.334294{col 26}{space 2} 1.804375{col 37}{space 1}    0.74{col 46}{space 3}0.460{col 54}{space 4}-2.202216{col 67}{space 3} 4.870805
{txt}{space 7}1947  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1948  {c |}{col 14}{res}{space 2}  .031547{col 26}{space 2} 1.976312{col 37}{space 1}    0.02{col 46}{space 3}0.987{col 54}{space 4}-3.841953{col 67}{space 3} 3.905047
{txt}{space 7}1949  {c |}{col 14}{res}{space 2} .8793566{col 26}{space 2} 1.710378{col 37}{space 1}    0.51{col 46}{space 3}0.607{col 54}{space 4}-2.472922{col 67}{space 3} 4.231635
{txt}{space 7}1950  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1951  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1952  {c |}{col 14}{res}{space 2}-1.917079{col 26}{space 2} 2.703674{col 37}{space 1}   -0.71{col 46}{space 3}0.478{col 54}{space 4}-7.216183{col 67}{space 3} 3.382025
{txt}{space 7}1953  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1954  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1955  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1956  {c |}{col 14}{res}{space 2}-.2322564{col 26}{space 2} 1.844036{col 37}{space 1}   -0.13{col 46}{space 3}0.900{col 54}{space 4}  -3.8465{col 67}{space 3} 3.381987
{txt}{space 7}1957  {c |}{col 14}{res}{space 2}-.3692091{col 26}{space 2}  2.20199{col 37}{space 1}   -0.17{col 46}{space 3}0.867{col 54}{space 4} -4.68503{col 67}{space 3} 3.946612
{txt}{space 7}1958  {c |}{col 14}{res}{space 2} 2.964231{col 26}{space 2} 1.793431{col 37}{space 1}    1.65{col 46}{space 3}0.098{col 54}{space 4}-.5508302{col 67}{space 3} 6.479292
{txt}{space 7}1959  {c |}{col 14}{res}{space 2} .3097126{col 26}{space 2} 2.160329{col 37}{space 1}    0.14{col 46}{space 3}0.886{col 54}{space 4}-3.924455{col 67}{space 3}  4.54388
{txt}{space 7}1960  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1961  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1962  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1963  {c |}{col 14}{res}{space 2} .5573956{col 26}{space 2} 1.836844{col 37}{space 1}    0.30{col 46}{space 3}0.762{col 54}{space 4}-3.042753{col 67}{space 3} 4.157544
{txt}{space 7}1964  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1965  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1966  {c |}{col 14}{res}{space 2}  .972551{col 26}{space 2} 1.709454{col 37}{space 1}    0.57{col 46}{space 3}0.569{col 54}{space 4}-2.377917{col 67}{space 3} 4.323019
{txt}{space 7}1967  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1968  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1969  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1970  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1971  {c |}{col 14}{res}{space 2}-.2949479{col 26}{space 2} 1.781396{col 37}{space 1}   -0.17{col 46}{space 3}0.868{col 54}{space 4}-3.786421{col 67}{space 3} 3.196525
{txt}{space 7}1972  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1973  {c |}{col 14}{res}{space 2}-.4088872{col 26}{space 2}  1.79365{col 37}{space 1}   -0.23{col 46}{space 3}0.820{col 54}{space 4}-3.924376{col 67}{space 3} 3.106602
{txt}{space 7}1974  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1975  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1976  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1977  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1978  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1979  {c |}{col 14}{res}{space 2} .3825352{col 26}{space 2} 1.649474{col 37}{space 1}    0.23{col 46}{space 3}0.817{col 54}{space 4}-2.850375{col 67}{space 3} 3.615445
{txt}{space 7}1980  {c |}{col 14}{res}{space 2}-.9535431{col 26}{space 2} 1.775488{col 37}{space 1}   -0.54{col 46}{space 3}0.591{col 54}{space 4}-4.433436{col 67}{space 3}  2.52635
{txt}{space 7}1981  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1982  {c |}{col 14}{res}{space 2} -.139428{col 26}{space 2} 1.757907{col 37}{space 1}   -0.08{col 46}{space 3}0.937{col 54}{space 4}-3.584863{col 67}{space 3} 3.306007
{txt}{space 7}1983  {c |}{col 14}{res}{space 2}-.3751018{col 26}{space 2}  1.86573{col 37}{space 1}   -0.20{col 46}{space 3}0.841{col 54}{space 4}-4.031865{col 67}{space 3} 3.281661
{txt}{space 7}1984  {c |}{col 14}{res}{space 2} .6335515{col 26}{space 2} 1.713797{col 37}{space 1}    0.37{col 46}{space 3}0.712{col 54}{space 4}-2.725428{col 67}{space 3} 3.992531
{txt}{space 7}1985  {c |}{col 14}{res}{space 2} .1563625{col 26}{space 2} 1.815111{col 37}{space 1}    0.09{col 46}{space 3}0.931{col 54}{space 4}-3.401189{col 67}{space 3} 3.713914
{txt}{space 7}1986  {c |}{col 14}{res}{space 2} .8787186{col 26}{space 2} 1.957101{col 37}{space 1}    0.45{col 46}{space 3}0.653{col 54}{space 4}-2.957129{col 67}{space 3} 4.714566
{txt}{space 7}1987  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1988  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1989  {c |}{col 14}{res}{space 2} 1.056151{col 26}{space 2} 1.878033{col 37}{space 1}    0.56{col 46}{space 3}0.574{col 54}{space 4}-2.624726{col 67}{space 3} 4.737027
{txt}{space 7}1990  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}1991  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1992  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1993  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1994  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1995  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1996  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1997  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1998  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1999  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}2000  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}2001  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}2002  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}2003  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}2004  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}2005  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}2006  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}2007  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} -1.51667{col 26}{space 2} 1.528733{col 37}{space 1}   -0.99{col 46}{space 3}0.321{col 54}{space 4}-4.512931{col 67}{space 3} 1.479591
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}/lnsig2u {c |}{col 14}{res}{space 2}-11.66118{col 26}{space 2} 40.48963{col 54}{space 4}-91.01939{col 67}{space 3} 67.69703
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |}{col 14}{res}{space 2} .0029363{col 26}{space 2} .0594457{col 54}{space 4} 1.72e-20{col 67}{space 3} 5.01e+14
{txt}         rho {c |}{col 14}{res}{space 2} 2.62e-06{col 26}{space 2} .0001061{col 54}{space 4} 8.99e-41{col 67}{space 3}        1
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{txt}LR test of rho=0: {help j_chibar##|_new:chibar2(01) = }{res}1.0e-05{col 56}{txt}Prob >= chibar2 = {res}0.499
{txt}
{com}.     estimates store A134
{txt}
{com}. 
. ** Svolik
. replace age  = age_sv
{txt}(499 real changes made)

{com}. replace age2 = age2_sv
{txt}(499 real changes made)

{com}. replace age3 = age3_sv
{txt}(499 real changes made)

{com}. 
. * Country FE
. xtlogit sv_democratization  $controlsFE age2 age3 age c.enph    if a_1 == 1, fe
{txt}note: multiple positive outcomes within groups encountered.
note: 7 groups (248 obs) omitted because of all positive or
      all negative outcomes.
{res}
{txt}Iteration 0:{space 2}Log likelihood = {res:-41.241743}  
Iteration 1:{space 2}Log likelihood = {res:-38.817932}  
Iteration 2:{space 2}Log likelihood = {res:-38.700667}  
Iteration 3:{space 2}Log likelihood = {res:-38.700421}  
Iteration 4:{space 2}Log likelihood = {res:-38.700421}  
{res}
{txt}{col 1}Conditional fixed-effects logistic regression{col 54}{lalign 16:Number of obs}{col 70} = {res}{ralign 6:326}
{txt}{col 1}{txt}Group variable: {res}cowcode{txt}{col 54}{lalign 16:Number of groups}{col 70} = {res}{ralign 6:13}

{txt}{col 54}Obs per group:
{col 54}{ralign 16:min}{col 70} = {res}{ralign 6:9}
{txt}{col 54}{ralign 16:avg}{col 70} = {res}{ralign 6:25.1}
{txt}{col 54}{ralign 16:max}{col 70} = {res}{ralign 6:54}

{txt}{col 54}{lalign 16:LR chi2({res:14})}{col 70} = {res}{ralign 6:45.72}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-38.700421}{txt}{col 54}{lalign 16:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}sv_democra~n{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}1.legis11 {c |}{col 14}{res}{space 2}-1.137852{col 26}{space 2} 1.460603{col 37}{space 1}   -0.78{col 46}{space 3}0.436{col 54}{space 4}-4.000581{col 67}{space 3} 1.724877
{txt}{space 8}frag {c |}{col 14}{res}{space 2}-1.019272{col 26}{space 2}  1.17581{col 37}{space 1}   -0.87{col 46}{space 3}0.386{col 54}{space 4}-3.323817{col 67}{space 3} 1.285272
{txt}{space 6}unrest {c |}{col 14}{res}{space 2}-.0709013{col 26}{space 2} .1134191{col 37}{space 1}   -0.63{col 46}{space 3}0.532{col 54}{space 4}-.2931987{col 67}{space 3} .1513961
{txt}{space 4}personal {c |}{col 14}{res}{space 2}-2.843467{col 26}{space 2} 1.350692{col 37}{space 1}   -2.11{col 46}{space 3}0.035{col 54}{space 4}-5.490775{col 67}{space 3}-.1961584
{txt}{space 2}e_miinterc {c |}{col 14}{res}{space 2} .7658735{col 26}{space 2} .9724014{col 37}{space 1}    0.79{col 46}{space 3}0.431{col 54}{space 4}-1.139998{col 67}{space 3} 2.671745
{txt}{space 2}e_miinteco {c |}{col 14}{res}{space 2} .0915744{col 26}{space 2} 1.466484{col 37}{space 1}    0.06{col 46}{space 3}0.950{col 54}{space 4}-2.782682{col 67}{space 3}  2.96583
{txt}{space 8}pgdp {c |}{col 14}{res}{space 2}-.6535523{col 26}{space 2} .8252166{col 37}{space 1}   -0.79{col 46}{space 3}0.428{col 54}{space 4}-2.270947{col 67}{space 3} .9638424
{txt}{space 7}gpgdp {c |}{col 14}{res}{space 2}-8.564569{col 26}{space 2}  6.21142{col 37}{space 1}   -1.38{col 46}{space 3}0.168{col 54}{space 4}-20.73873{col 67}{space 3} 3.609591
{txt}{space 6}oilmin {c |}{col 14}{res}{space 2} 2.492448{col 26}{space 2} 1.939601{col 37}{space 1}    1.29{col 46}{space 3}0.199{col 54}{space 4}  -1.3091{col 67}{space 3} 6.293996
{txt}{space 8}popm {c |}{col 14}{res}{space 2} .2249205{col 26}{space 2} .1663255{col 37}{space 1}    1.35{col 46}{space 3}0.176{col 54}{space 4}-.1010715{col 67}{space 3} .5509124
{txt}{space 8}age2 {c |}{col 14}{res}{space 2} -.019549{col 26}{space 2} .0463286{col 37}{space 1}   -0.42{col 46}{space 3}0.673{col 54}{space 4}-.1103513{col 67}{space 3} .0712534
{txt}{space 8}age3 {c |}{col 14}{res}{space 2}-.0001424{col 26}{space 2} .0013945{col 37}{space 1}   -0.10{col 46}{space 3}0.919{col 54}{space 4}-.0028756{col 67}{space 3} .0025908
{txt}{space 9}age {c |}{col 14}{res}{space 2} .6186503{col 26}{space 2} .4331164{col 37}{space 1}    1.43{col 46}{space 3}0.153{col 54}{space 4}-.2302423{col 67}{space 3} 1.467543
{txt}{space 8}enph {c |}{col 14}{res}{space 2} 1.175342{col 26}{space 2} .4434174{col 37}{space 1}    2.65{col 46}{space 3}0.008{col 54}{space 4} .3062596{col 67}{space 3} 2.044424
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.     estimates store A135
{txt}
{com}. * Year FE
. xtlogit sv_democratization $controlsFE c.enph i.year    if a_1 == 1
{txt}note: {bf:1945.year} != 0 predicts failure perfectly;
      {bf:1945.year} omitted and 13 obs not used.

note: {bf:1946.year} != 0 predicts failure perfectly;
      {bf:1946.year} omitted and 10 obs not used.

note: {bf:1947.year} != 0 predicts failure perfectly;
      {bf:1947.year} omitted and 8 obs not used.

note: {bf:1950.year} != 0 predicts failure perfectly;
      {bf:1950.year} omitted and 12 obs not used.

note: {bf:1951.year} != 0 predicts failure perfectly;
      {bf:1951.year} omitted and 12 obs not used.

note: {bf:1953.year} != 0 predicts failure perfectly;
      {bf:1953.year} omitted and 14 obs not used.

note: {bf:1954.year} != 0 predicts failure perfectly;
      {bf:1954.year} omitted and 14 obs not used.

note: {bf:1955.year} != 0 predicts failure perfectly;
      {bf:1955.year} omitted and 15 obs not used.

note: {bf:1957.year} != 0 predicts failure perfectly;
      {bf:1957.year} omitted and 12 obs not used.

note: {bf:1960.year} != 0 predicts failure perfectly;
      {bf:1960.year} omitted and 8 obs not used.

note: {bf:1961.year} != 0 predicts failure perfectly;
      {bf:1961.year} omitted and 8 obs not used.

note: {bf:1962.year} != 0 predicts failure perfectly;
      {bf:1962.year} omitted and 8 obs not used.

note: {bf:1964.year} != 0 predicts failure perfectly;
      {bf:1964.year} omitted and 10 obs not used.

note: {bf:1965.year} != 0 predicts failure perfectly;
      {bf:1965.year} omitted and 12 obs not used.

note: {bf:1966.year} != 0 predicts failure perfectly;
      {bf:1966.year} omitted and 12 obs not used.

note: {bf:1967.year} != 0 predicts failure perfectly;
      {bf:1967.year} omitted and 13 obs not used.

note: {bf:1968.year} != 0 predicts failure perfectly;
      {bf:1968.year} omitted and 13 obs not used.

note: {bf:1969.year} != 0 predicts failure perfectly;
      {bf:1969.year} omitted and 14 obs not used.

note: {bf:1970.year} != 0 predicts failure perfectly;
      {bf:1970.year} omitted and 14 obs not used.

note: {bf:1972.year} != 0 predicts failure perfectly;
      {bf:1972.year} omitted and 14 obs not used.

note: {bf:1974.year} != 0 predicts failure perfectly;
      {bf:1974.year} omitted and 16 obs not used.

note: {bf:1975.year} != 0 predicts failure perfectly;
      {bf:1975.year} omitted and 16 obs not used.

note: {bf:1976.year} != 0 predicts failure perfectly;
      {bf:1976.year} omitted and 16 obs not used.

note: {bf:1977.year} != 0 predicts failure perfectly;
      {bf:1977.year} omitted and 17 obs not used.

note: {bf:1981.year} != 0 predicts failure perfectly;
      {bf:1981.year} omitted and 14 obs not used.

note: {bf:1984.year} != 0 predicts failure perfectly;
      {bf:1984.year} omitted and 11 obs not used.

note: {bf:1987.year} != 0 predicts failure perfectly;
      {bf:1987.year} omitted and 6 obs not used.

note: {bf:1988.year} != 0 predicts failure perfectly;
      {bf:1988.year} omitted and 6 obs not used.

note: {bf:1991.year} != 0 predicts failure perfectly;
      {bf:1991.year} omitted and 2 obs not used.

note: {bf:1992.year} != 0 predicts failure perfectly;
      {bf:1992.year} omitted and 2 obs not used.

note: {bf:1993.year} != 0 predicts failure perfectly;
      {bf:1993.year} omitted and 3 obs not used.

note: {bf:1995.year} != 0 predicts failure perfectly;
      {bf:1995.year} omitted and 3 obs not used.

note: {bf:1996.year} != 0 predicts failure perfectly;
      {bf:1996.year} omitted and 1 obs not used.

note: {bf:1997.year} != 0 predicts failure perfectly;
      {bf:1997.year} omitted and 1 obs not used.

note: {bf:1998.year} != 0 predicts failure perfectly;
      {bf:1998.year} omitted and 1 obs not used.

note: {bf:1999.year} != 0 predicts failure perfectly;
      {bf:1999.year} omitted and 1 obs not used.

note: {bf:2000.year} != 0 predicts failure perfectly;
      {bf:2000.year} omitted and 2 obs not used.

note: {bf:2001.year} != 0 predicts failure perfectly;
      {bf:2001.year} omitted and 2 obs not used.

note: {bf:2002.year} != 0 predicts failure perfectly;
      {bf:2002.year} omitted and 2 obs not used.

note: {bf:2003.year} != 0 predicts failure perfectly;
      {bf:2003.year} omitted and 2 obs not used.

note: {bf:2004.year} != 0 predicts failure perfectly;
      {bf:2004.year} omitted and 2 obs not used.

note: {bf:2005.year} != 0 predicts failure perfectly;
      {bf:2005.year} omitted and 2 obs not used.

note: {bf:2006.year} != 0 predicts failure perfectly;
      {bf:2006.year} omitted and 2 obs not used.

note: {bf:2007.year} != 0 predicts failure perfectly;
      {bf:2007.year} omitted and 1 obs not used.

note: {bf:1994.year} omitted because of collinearity.

Fitting comparison model:

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-72.208244}  
Iteration 1:{space 2}Log likelihood = {res:-58.873735}  
Iteration 2:{space 2}Log likelihood = {res:-53.148072}  
Iteration 3:{space 2}Log likelihood = {res:-52.362143}  
Iteration 4:{space 2}Log likelihood = {res:-52.348656}  
Iteration 5:{space 2}Log likelihood = {res:-52.348633}  
Iteration 6:{space 2}Log likelihood = {res:-52.348633}  
{res}
{txt}Fitting full model:

tau = {res} 0.0    {txt}Log likelihood = {res}-52.348633
{txt}tau = {res} 0.1    {txt}Log likelihood = {res} -52.02719
{txt}tau = {res} 0.2    {txt}Log likelihood = {res}-51.791596
{txt}tau = {res} 0.3    {txt}Log likelihood = {res}-51.656555
{txt}tau = {res} 0.4    {txt}Log likelihood = {res}-51.644822
{txt}tau = {res} 0.5    {txt}Log likelihood = {res}-51.793958

{txt}Iteration 0:{space 2}Log likelihood = {res:-51.644826}  
Iteration 1:{space 2}Log likelihood = {res:-50.348417}  
Iteration 2:{space 2}Log likelihood = {res:-49.900627}  
Iteration 3:{space 2}Log likelihood = {res:-49.852671}  
Iteration 4:{space 2}Log likelihood = {res: -49.85023}  
Iteration 5:{space 2}Log likelihood = {res: -49.85023}  
{res}
{txt}{col 1}Random-effects logistic regression{col 54}{lalign 16:Number of obs}{col 70} = {res}{ralign 6:207}
{txt}{col 1}{txt}Group variable: {res}cowcode{txt}{col 54}{lalign 16:Number of groups}{col 70} = {res}{ralign 6:20}

{txt}{col 1}Random effects u_i ~ {txt:Gaussian}{col 54}Obs per group:
{col 54}{ralign 16:min}{col 70} = {res}{ralign 6:1}
{txt}{col 54}{ralign 16:avg}{col 70} = {res}{ralign 6:10.3}
{txt}{col 54}{ralign 16:max}{col 70} = {res}{ralign 6:17}

{txt}{col 1}Integration method: {res:mvaghermite}{col 54}{lalign 16:Integration pts.}{col 70} = {res}{ralign 6:12}

{txt}{col 54}{lalign 16:Wald chi2({res:29})}{col 70} = {res}{ralign 6:14.39}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 9:-49.85023}{txt}{col 54}{lalign 16:Prob > chi2}{col 70} = {res}{ralign 6:0.9892}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}sv_democra~n{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}1.legis11 {c |}{col 14}{res}{space 2} -2.72067{col 26}{space 2} 1.514787{col 37}{space 1}   -1.80{col 46}{space 3}0.072{col 54}{space 4}-5.689599{col 67}{space 3} .2482582
{txt}{space 8}frag {c |}{col 14}{res}{space 2}-1.016105{col 26}{space 2} 1.509754{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-3.975168{col 67}{space 3} 1.942957
{txt}{space 6}unrest {c |}{col 14}{res}{space 2}-.1366625{col 26}{space 2} .1699556{col 37}{space 1}   -0.80{col 46}{space 3}0.421{col 54}{space 4}-.4697694{col 67}{space 3} .1964443
{txt}{space 4}personal {c |}{col 14}{res}{space 2}-2.258932{col 26}{space 2} 1.573146{col 37}{space 1}   -1.44{col 46}{space 3}0.151{col 54}{space 4}-5.342242{col 67}{space 3} .8243773
{txt}{space 2}e_miinterc {c |}{col 14}{res}{space 2}-.3357566{col 26}{space 2} 1.039741{col 37}{space 1}   -0.32{col 46}{space 3}0.747{col 54}{space 4}-2.373611{col 67}{space 3} 1.702097
{txt}{space 2}e_miinteco {c |}{col 14}{res}{space 2} 1.596327{col 26}{space 2} 1.832724{col 37}{space 1}    0.87{col 46}{space 3}0.384{col 54}{space 4}-1.995745{col 67}{space 3}   5.1884
{txt}{space 8}pgdp {c |}{col 14}{res}{space 2} .0983515{col 26}{space 2} .3523288{col 37}{space 1}    0.28{col 46}{space 3}0.780{col 54}{space 4}-.5922002{col 67}{space 3} .7889033
{txt}{space 7}gpgdp {c |}{col 14}{res}{space 2}-9.611818{col 26}{space 2} 8.862329{col 37}{space 1}   -1.08{col 46}{space 3}0.278{col 54}{space 4}-26.98166{col 67}{space 3} 7.758028
{txt}{space 6}oilmin {c |}{col 14}{res}{space 2} .9241857{col 26}{space 2} 1.498196{col 37}{space 1}    0.62{col 46}{space 3}0.537{col 54}{space 4}-2.012225{col 67}{space 3} 3.860596
{txt}{space 8}popm {c |}{col 14}{res}{space 2}-.0378484{col 26}{space 2} .0399527{col 37}{space 1}   -0.95{col 46}{space 3}0.343{col 54}{space 4}-.1161542{col 67}{space 3} .0404575
{txt}{space 8}enph {c |}{col 14}{res}{space 2} 1.947703{col 26}{space 2} .7616869{col 37}{space 1}    2.56{col 46}{space 3}0.011{col 54}{space 4} .4548246{col 67}{space 3} 3.440582
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}1945  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1946  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1947  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1948  {c |}{col 14}{res}{space 2}-.9761572{col 26}{space 2} 4.994353{col 37}{space 1}   -0.20{col 46}{space 3}0.845{col 54}{space 4}-10.76491{col 67}{space 3} 8.812596
{txt}{space 7}1949  {c |}{col 14}{res}{space 2} .1468225{col 26}{space 2} 4.837481{col 37}{space 1}    0.03{col 46}{space 3}0.976{col 54}{space 4}-9.334467{col 67}{space 3} 9.628112
{txt}{space 7}1950  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1951  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1952  {c |}{col 14}{res}{space 2}-.4294421{col 26}{space 2} 4.914234{col 37}{space 1}   -0.09{col 46}{space 3}0.930{col 54}{space 4}-10.06116{col 67}{space 3} 9.202279
{txt}{space 7}1953  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1954  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1955  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1956  {c |}{col 14}{res}{space 2}-.2319874{col 26}{space 2} 4.778587{col 37}{space 1}   -0.05{col 46}{space 3}0.961{col 54}{space 4}-9.597846{col 67}{space 3} 9.133872
{txt}{space 7}1957  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1958  {c |}{col 14}{res}{space 2} 2.867002{col 26}{space 2} 4.852013{col 37}{space 1}    0.59{col 46}{space 3}0.555{col 54}{space 4} -6.64277{col 67}{space 3} 12.37677
{txt}{space 7}1959  {c |}{col 14}{res}{space 2} .8841371{col 26}{space 2} 5.055759{col 37}{space 1}    0.17{col 46}{space 3}0.861{col 54}{space 4}-9.024969{col 67}{space 3} 10.79324
{txt}{space 7}1960  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1961  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1962  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1963  {c |}{col 14}{res}{space 2} .1910056{col 26}{space 2} 4.954288{col 37}{space 1}    0.04{col 46}{space 3}0.969{col 54}{space 4}-9.519221{col 67}{space 3} 9.901232
{txt}{space 7}1964  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1965  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1966  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1967  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1968  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1969  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1970  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1971  {c |}{col 14}{res}{space 2} .5214491{col 26}{space 2} 4.839082{col 37}{space 1}    0.11{col 46}{space 3}0.914{col 54}{space 4}-8.962977{col 67}{space 3} 10.00587
{txt}{space 7}1972  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1973  {c |}{col 14}{res}{space 2} .8479263{col 26}{space 2} 4.883345{col 37}{space 1}    0.17{col 46}{space 3}0.862{col 54}{space 4}-8.723254{col 67}{space 3} 10.41911
{txt}{space 7}1974  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1975  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1976  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1977  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1978  {c |}{col 14}{res}{space 2} .2934648{col 26}{space 2} 4.854018{col 37}{space 1}    0.06{col 46}{space 3}0.952{col 54}{space 4}-9.220236{col 67}{space 3} 9.807166
{txt}{space 7}1979  {c |}{col 14}{res}{space 2} .6832069{col 26}{space 2} 4.907359{col 37}{space 1}    0.14{col 46}{space 3}0.889{col 54}{space 4} -8.93504{col 67}{space 3} 10.30145
{txt}{space 7}1980  {c |}{col 14}{res}{space 2} .0767131{col 26}{space 2} 4.884189{col 37}{space 1}    0.02{col 46}{space 3}0.987{col 54}{space 4}-9.496121{col 67}{space 3} 9.649547
{txt}{space 7}1981  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1982  {c |}{col 14}{res}{space 2} 1.038733{col 26}{space 2} 4.932421{col 37}{space 1}    0.21{col 46}{space 3}0.833{col 54}{space 4}-8.628635{col 67}{space 3}  10.7061
{txt}{space 7}1983  {c |}{col 14}{res}{space 2} 1.444786{col 26}{space 2} 4.975463{col 37}{space 1}    0.29{col 46}{space 3}0.772{col 54}{space 4}-8.306942{col 67}{space 3} 11.19651
{txt}{space 7}1984  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1985  {c |}{col 14}{res}{space 2} 1.350939{col 26}{space 2} 5.066053{col 37}{space 1}    0.27{col 46}{space 3}0.790{col 54}{space 4}-8.578343{col 67}{space 3} 11.28022
{txt}{space 7}1986  {c |}{col 14}{res}{space 2} 3.282219{col 26}{space 2} 5.283045{col 37}{space 1}    0.62{col 46}{space 3}0.534{col 54}{space 4} -7.07236{col 67}{space 3}  13.6368
{txt}{space 7}1987  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1988  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1989  {c |}{col 14}{res}{space 2} 1.824788{col 26}{space 2} 5.366327{col 37}{space 1}    0.34{col 46}{space 3}0.734{col 54}{space 4} -8.69302{col 67}{space 3}  12.3426
{txt}{space 7}1990  {c |}{col 14}{res}{space 2} 4.031052{col 26}{space 2} 5.222195{col 37}{space 1}    0.77{col 46}{space 3}0.440{col 54}{space 4}-6.204262{col 67}{space 3} 14.26637
{txt}{space 7}1991  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1992  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1993  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1994  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}1995  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1996  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1997  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1998  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1999  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}2000  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}2001  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}2002  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}2003  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}2004  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}2005  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}2006  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}2007  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-3.785416{col 26}{space 2} 5.055426{col 37}{space 1}   -0.75{col 46}{space 3}0.454{col 54}{space 4}-13.69387{col 67}{space 3} 6.123037
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}/lnsig2u {c |}{col 14}{res}{space 2} 1.594264{col 26}{space 2} 1.151692{col 54}{space 4}-.6630099{col 67}{space 3} 3.851538
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |}{col 14}{res}{space 2} 2.219167{col 26}{space 2} 1.277898{col 54}{space 4} .7178426{col 67}{space 3} 6.860423
{txt}         rho {c |}{col 14}{res}{space 2} .5995083{col 26}{space 2}  .276519{col 54}{space 4} .1354206{col 67}{space 3} .9346669
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{txt}LR test of rho=0: {help j_chibar##|_new:chibar2(01) = }{res}5.00{col 56}{txt}Prob >= chibar2 = {res}0.013
{txt}
{com}.     estimates store A136
{txt}
{com}. 
. esttab A131 A132 A133 A134 A135 A136 using "TableA13.rtf", ///
>     cell(b(star fmt(%9.2f)) se(par)) ///
>         drop(0.legis11 *.year lnsig2u) ///    
>         stats(N ll, fmt(%9.0g %9.3f) labels("N" "Log-L")) ///
>     starlevels(* 0.05 ** 0.01) ///
>     o(enph 1.legis11 personal frag unrest personal e_miinterc e_miinteco pgdp gpgdp oilmin popm) ///
>     legend label varlabels(_cons Constant) ///
>     title("Table A13. Democratization: Fixed Effects Models") replace
{res}{txt}{p 0 4 2}
(file {bf}
TableA13.rtf{rm}
not found)
{p_end}
{res}{txt}(output written to {browse  `"TableA13.rtf"'})

{com}. 
. 
.            
. *********** FIGURES
. *** Figure A1: Predicted probabilities
. * Correct age
. replace age  = age_gwf
{txt}(522 real changes made)

{com}. replace age2 = age2_gwf
{txt}(522 real changes made)

{com}. replace age3 = age3_gwf
{txt}(522 real changes made)

{com}. * Figure A1.1 Dictatorships with legislatures, no controls
. logit gwf_democratization                                               c.enph i.legis11                            if a_1 == 1

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-109.12802}  
Iteration 1:{space 2}Log likelihood = {res:-108.91703}  
Iteration 2:{space 2}Log likelihood = {res:-99.155793}  
Iteration 3:{space 2}Log likelihood = {res:-98.921272}  
Iteration 4:{space 2}Log likelihood = {res: -98.92022}  
Iteration 5:{space 2}Log likelihood = {res: -98.92022}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:579}
{txt}{col 57}{lalign 13:LR chi2({res:2})}{col 70} = {res}{ralign 6:20.42}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 9:-98.92022}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.0935}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}gwf_democr~n{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}enph {c |}{col 14}{res}{space 2} .7881012{col 26}{space 2} .1696701{col 37}{space 1}    4.64{col 46}{space 3}0.000{col 54}{space 4} .4555538{col 67}{space 3} 1.120649
{txt}{space 3}1.legis11 {c |}{col 14}{res}{space 2}-2.194997{col 26}{space 2} .6323363{col 37}{space 1}   -3.47{col 46}{space 3}0.001{col 54}{space 4}-3.434353{col 67}{space 3}-.9556409
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-2.755396{col 26}{space 2} .3109493{col 37}{space 1}   -8.86{col 46}{space 3}0.000{col 54}{space 4}-3.364846{col 67}{space 3}-2.145947
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.            estimates store M11
{txt}
{com}.            margins, at(enph = 0)
{res}
{txt}{col 1}Predictive margins{col 60}{lalign 13:Number of obs}{col 73} = {res}{ralign 3:579}
{txt}{col 1}Model VCE: {res:OIM}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Pr(gwf_democratization), predict()}{p_end}
{p2colreset}{...}
{lalign 4:At: }{space 0}{lalign 4:enph} = {res:{ralign 1:0}}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}_cons {c |}{col 14}{res}{space 2} .0237948{col 26}{space 2} .0061423{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0117561{col 67}{space 3} .0358334
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.        margins, at(enph=(1(1)5))
{res}
{txt}{col 1}Predictive margins{col 60}{lalign 13:Number of obs}{col 73} = {res}{ralign 3:579}
{txt}{col 1}Model VCE: {res:OIM}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Pr(gwf_democratization), predict()}{p_end}
{p2colreset}{...}
{lalign 7:1._at: }{space 0}{lalign 4:enph} = {res:{ralign 1:1}}
{lalign 7:2._at: }{space 0}{lalign 4:enph} = {res:{ralign 1:2}}
{lalign 7:3._at: }{space 0}{lalign 4:enph} = {res:{ralign 1:3}}
{lalign 7:4._at: }{space 0}{lalign 4:enph} = {res:{ralign 1:4}}
{lalign 7:5._at: }{space 0}{lalign 4:enph} = {res:{ralign 1:5}}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0494467{col 26}{space 2} .0112944{col 37}{space 1}    4.38{col 46}{space 3}0.000{col 54}{space 4} .0273101{col 67}{space 3} .0715832
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0973324{col 26}{space 2} .0248332{col 37}{space 1}    3.92{col 46}{space 3}0.000{col 54}{space 4} .0486603{col 67}{space 3} .1460046
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .1759948{col 26}{space 2} .0482146{col 37}{space 1}    3.65{col 46}{space 3}0.000{col 54}{space 4} .0814959{col 67}{space 3} .2704937
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .2869675{col 26}{space 2} .0757271{col 37}{space 1}    3.79{col 46}{space 3}0.000{col 54}{space 4}  .138545{col 67}{space 3}   .43539
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .4255353{col 26}{space 2} .1053724{col 37}{space 1}    4.04{col 46}{space 3}0.000{col 54}{space 4} .2190092{col 67}{space 3} .6320614
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.        marginsplot, name("FA11", replace) title("A1.1 Baseline (GWF)", s(large)) $graphspecs  scheme(plotpain)  // add scheme(s1mono) or scheme(lean1) for better graphs
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:enph}{p_end}
(note: scheme plotpain not found, using s2color)
{res}{txt}
{com}.        graph save FA11 "FA11_GWF-Baseline.gph", replace
{txt}{p 0 4 2}
(file {bf}
FA11_GWF-Baseline.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:FA11_GWF-Baseline.gph} saved

{com}. 
. * Figure A1.2 All Dictatorships, pretreatment controls 
. logit gwf_democratization  $controls_pre $fordicts c.enph                                  if a_1 == 1

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-108.25445}  
Iteration 1:{space 2}Log likelihood = {res:-91.715615}  
Iteration 2:{space 2}Log likelihood = {res:-85.329367}  
Iteration 3:{space 2}Log likelihood = {res:-84.792419}  
Iteration 4:{space 2}Log likelihood = {res:-84.779562}  
Iteration 5:{space 2}Log likelihood = {res:-84.779381}  
Iteration 6:{space 2}Log likelihood = {res:-84.779381}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:561}
{txt}{col 57}{lalign 13:LR chi2({res:15})}{col 70} = {res}{ralign 6:46.95}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-84.779381}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.2169}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}gwf_democr~n{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}region {c |}{col 14}{res}{space 2} 3.950918{col 26}{space 2} 1.664156{col 37}{space 1}    2.37{col 46}{space 3}0.018{col 54}{space 4} .6892324{col 67}{space 3} 7.212604
{txt}{space 2}e_miinterc {c |}{col 14}{res}{space 2}-.1824514{col 26}{space 2} .5816643{col 37}{space 1}   -0.31{col 46}{space 3}0.754{col 54}{space 4}-1.322493{col 67}{space 3} .9575896
{txt}{space 2}e_miinteco {c |}{col 14}{res}{space 2}  1.81332{col 26}{space 2} .8916408{col 37}{space 1}    2.03{col 46}{space 3}0.042{col 54}{space 4} .0657364{col 67}{space 3} 3.560904
{txt}{space 8}pgdp {c |}{col 14}{res}{space 2}-.0028674{col 26}{space 2} .1436042{col 37}{space 1}   -0.02{col 46}{space 3}0.984{col 54}{space 4}-.2843265{col 67}{space 3} .2785917
{txt}{space 7}gpgdp {c |}{col 14}{res}{space 2} 3.852171{col 26}{space 2} 5.090519{col 37}{space 1}    0.76{col 46}{space 3}0.449{col 54}{space 4}-6.125064{col 67}{space 3} 13.82941
{txt}{space 6}oilmin {c |}{col 14}{res}{space 2}-.0832856{col 26}{space 2} .6414492{col 37}{space 1}   -0.13{col 46}{space 3}0.897{col 54}{space 4}-1.340503{col 67}{space 3} 1.173932
{txt}{space 8}popm {c |}{col 14}{res}{space 2} .0209467{col 26}{space 2} .0130336{col 37}{space 1}    1.61{col 46}{space 3}0.108{col 54}{space 4}-.0045987{col 67}{space 3} .0464921
{txt}{space 3}al_ethnic {c |}{col 14}{res}{space 2}-1.060342{col 26}{space 2} 1.295765{col 37}{space 1}   -0.82{col 46}{space 3}0.413{col 54}{space 4}-3.599994{col 67}{space 3}  1.47931
{txt}{space 1}al_religion {c |}{col 14}{res}{space 2}-7.889199{col 26}{space 2} 2.563226{col 37}{space 1}   -3.08{col 46}{space 3}0.002{col 54}{space 4}-12.91303{col 67}{space 3}-2.865368
{txt}{space 9}age {c |}{col 14}{res}{space 2}  .237329{col 26}{space 2} .1461076{col 37}{space 1}    1.62{col 46}{space 3}0.104{col 54}{space 4}-.0490366{col 67}{space 3} .5236947
{txt}{space 8}age2 {c |}{col 14}{res}{space 2}-.0115382{col 26}{space 2} .0086687{col 37}{space 1}   -1.33{col 46}{space 3}0.183{col 54}{space 4}-.0285285{col 67}{space 3}  .005452
{txt}{space 8}age3 {c |}{col 14}{res}{space 2} .0001037{col 26}{space 2} .0001333{col 37}{space 1}    0.78{col 46}{space 3}0.437{col 54}{space 4}-.0001576{col 67}{space 3}  .000365
{txt}{space 3}1.legis11 {c |}{col 14}{res}{space 2}-2.504166{col 26}{space 2} .8681389{col 37}{space 1}   -2.88{col 46}{space 3}0.004{col 54}{space 4}-4.205687{col 67}{space 3}-.8026447
{txt}{space 4}personal {c |}{col 14}{res}{space 2}-.2643116{col 26}{space 2} .6996724{col 37}{space 1}   -0.38{col 46}{space 3}0.706{col 54}{space 4}-1.635644{col 67}{space 3} 1.107021
{txt}{space 8}enph {c |}{col 14}{res}{space 2} .9454459{col 26}{space 2} .2429228{col 37}{space 1}    3.89{col 46}{space 3}0.000{col 54}{space 4}  .469326{col 67}{space 3} 1.421566
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-2.321792{col 26}{space 2} 1.260177{col 37}{space 1}   -1.84{col 46}{space 3}0.065{col 54}{space 4}-4.791694{col 67}{space 3} .1481094
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.            estimates store M12
{txt}
{com}.            margins, at(enph = 0 legis11 = 0)
{res}
{txt}{col 1}Predictive margins{col 60}{lalign 13:Number of obs}{col 73} = {res}{ralign 3:561}
{txt}{col 1}Model VCE: {res:OIM}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Pr(gwf_democratization), predict()}{p_end}
{p2colreset}{...}
{lalign 4:At: }{space 0}{lalign 7:legis11} = {res:{ralign 1:0}}
{lalign 4:}{space 0}{lalign 7:enph} = {res:{ralign 1:0}}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}_cons {c |}{col 14}{res}{space 2} .0587232{col 26}{space 2} .0196023{col 37}{space 1}    3.00{col 46}{space 3}0.003{col 54}{space 4} .0203033{col 67}{space 3}  .097143
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.        margins, at(enph=(1(1)5) legis11 = 1)
{res}
{txt}{col 1}Predictive margins{col 60}{lalign 13:Number of obs}{col 73} = {res}{ralign 3:561}
{txt}{col 1}Model VCE: {res:OIM}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Pr(gwf_democratization), predict()}{p_end}
{p2colreset}{...}
{lalign 7:1._at: }{space 0}{lalign 7:legis11} = {res:{ralign 1:1}}
{lalign 7:}{space 0}{lalign 7:enph} = {res:{ralign 1:1}}
{lalign 7:2._at: }{space 0}{lalign 7:legis11} = {res:{ralign 1:1}}
{lalign 7:}{space 0}{lalign 7:enph} = {res:{ralign 1:2}}
{lalign 7:3._at: }{space 0}{lalign 7:legis11} = {res:{ralign 1:1}}
{lalign 7:}{space 0}{lalign 7:enph} = {res:{ralign 1:3}}
{lalign 7:4._at: }{space 0}{lalign 7:legis11} = {res:{ralign 1:1}}
{lalign 7:}{space 0}{lalign 7:enph} = {res:{ralign 1:4}}
{lalign 7:5._at: }{space 0}{lalign 7:legis11} = {res:{ralign 1:1}}
{lalign 7:}{space 0}{lalign 7:enph} = {res:{ralign 1:5}}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0142457{col 26}{space 2} .0066206{col 37}{space 1}    2.15{col 46}{space 3}0.031{col 54}{space 4} .0012696{col 67}{space 3} .0272218
{txt}{space 10}2  {c |}{col 14}{res}{space 2}  .034179{col 26}{space 2} .0105362{col 37}{space 1}    3.24{col 46}{space 3}0.001{col 54}{space 4} .0135284{col 67}{space 3} .0548295
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0777522{col 26}{space 2} .0210802{col 37}{space 1}    3.69{col 46}{space 3}0.000{col 54}{space 4} .0364358{col 67}{space 3} .1190686
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .1616806{col 26}{space 2} .0522482{col 37}{space 1}    3.09{col 46}{space 3}0.002{col 54}{space 4} .0592761{col 67}{space 3} .2640851
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .2955158{col 26}{space 2}  .105956{col 37}{space 1}    2.79{col 46}{space 3}0.005{col 54}{space 4}  .087846{col 67}{space 3} .5031857
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.        marginsplot, name("FA12", replace) title("A1.2 Pretreatment (GWF)", s(large)) $graphspecs scheme(plotpain)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:enph}{p_end}
(note: scheme plotpain not found, using s2color)
{res}{txt}
{com}.        graph save FA12 "FA12_GWF-Pretreatment.gph", replace
{txt}{p 0 4 2}
(file {bf}
FA12_GWF-Pretreatment.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:FA12_GWF-Pretreatment.gph} saved

{com}. 
. * Figure A1.3 All Dictatorships, all controls 
. logit gwf_democratization  $controls $fordicts c.enph                                      if a_1 == 1

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-108.25445}  
Iteration 1:{space 2}Log likelihood = {res:-91.512265}  
Iteration 2:{space 2}Log likelihood = {res:-85.120197}  
Iteration 3:{space 2}Log likelihood = {res:-84.562187}  
Iteration 4:{space 2}Log likelihood = {res:-84.548269}  
Iteration 5:{space 2}Log likelihood = {res:-84.548047}  
Iteration 6:{space 2}Log likelihood = {res:-84.548047}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:561}
{txt}{col 57}{lalign 13:LR chi2({res:17})}{col 70} = {res}{ralign 6:47.41}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0001}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-84.548047}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.2190}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}gwf_democr~n{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}frag {c |}{col 14}{res}{space 2}-.3765267{col 26}{space 2} .8174088{col 37}{space 1}   -0.46{col 46}{space 3}0.645{col 54}{space 4}-1.978619{col 67}{space 3} 1.225565
{txt}{space 6}unrest {c |}{col 14}{res}{space 2} .0324592{col 26}{space 2} .0601853{col 37}{space 1}    0.54{col 46}{space 3}0.590{col 54}{space 4}-.0855019{col 67}{space 3} .1504203
{txt}{space 6}region {c |}{col 14}{res}{space 2} 4.083887{col 26}{space 2} 1.753079{col 37}{space 1}    2.33{col 46}{space 3}0.020{col 54}{space 4} .6479158{col 67}{space 3} 7.519859
{txt}{space 2}e_miinterc {c |}{col 14}{res}{space 2}-.1944108{col 26}{space 2} .5827776{col 37}{space 1}   -0.33{col 46}{space 3}0.739{col 54}{space 4}-1.336634{col 67}{space 3} .9478122
{txt}{space 2}e_miinteco {c |}{col 14}{res}{space 2} 1.750986{col 26}{space 2} .9027162{col 37}{space 1}    1.94{col 46}{space 3}0.052{col 54}{space 4}-.0183056{col 67}{space 3} 3.520277
{txt}{space 8}pgdp {c |}{col 14}{res}{space 2}-.0179342{col 26}{space 2} .1486255{col 37}{space 1}   -0.12{col 46}{space 3}0.904{col 54}{space 4}-.3092348{col 67}{space 3} .2733664
{txt}{space 7}gpgdp {c |}{col 14}{res}{space 2} 3.519502{col 26}{space 2} 5.117234{col 37}{space 1}    0.69{col 46}{space 3}0.492{col 54}{space 4}-6.510092{col 67}{space 3}  13.5491
{txt}{space 6}oilmin {c |}{col 14}{res}{space 2}-.1084431{col 26}{space 2} .6477699{col 37}{space 1}   -0.17{col 46}{space 3}0.867{col 54}{space 4}-1.378049{col 67}{space 3} 1.161163
{txt}{space 8}popm {c |}{col 14}{res}{space 2} .0213477{col 26}{space 2} .0131571{col 37}{space 1}    1.62{col 46}{space 3}0.105{col 54}{space 4}-.0044398{col 67}{space 3} .0471352
{txt}{space 3}al_ethnic {c |}{col 14}{res}{space 2}-.9563746{col 26}{space 2} 1.314119{col 37}{space 1}   -0.73{col 46}{space 3}0.467{col 54}{space 4}-3.532001{col 67}{space 3} 1.619252
{txt}{space 1}al_religion {c |}{col 14}{res}{space 2}-8.106586{col 26}{space 2} 2.602124{col 37}{space 1}   -3.12{col 46}{space 3}0.002{col 54}{space 4}-13.20665{col 67}{space 3}-3.006517
{txt}{space 9}age {c |}{col 14}{res}{space 2} .2328499{col 26}{space 2} .1462337{col 37}{space 1}    1.59{col 46}{space 3}0.111{col 54}{space 4}-.0537628{col 67}{space 3} .5194626
{txt}{space 8}age2 {c |}{col 14}{res}{space 2}-.0113681{col 26}{space 2} .0086473{col 37}{space 1}   -1.31{col 46}{space 3}0.189{col 54}{space 4}-.0283165{col 67}{space 3} .0055803
{txt}{space 8}age3 {c |}{col 14}{res}{space 2} .0001032{col 26}{space 2} .0001328{col 37}{space 1}    0.78{col 46}{space 3}0.437{col 54}{space 4}-.0001571{col 67}{space 3} .0003635
{txt}{space 3}1.legis11 {c |}{col 14}{res}{space 2} -2.51588{col 26}{space 2} .8801007{col 37}{space 1}   -2.86{col 46}{space 3}0.004{col 54}{space 4}-4.240846{col 67}{space 3}-.7909145
{txt}{space 4}personal {c |}{col 14}{res}{space 2}-.1864385{col 26}{space 2} .7124246{col 37}{space 1}   -0.26{col 46}{space 3}0.794{col 54}{space 4}-1.582765{col 67}{space 3} 1.209888
{txt}{space 8}enph {c |}{col 14}{res}{space 2} 1.009122{col 26}{space 2} .2787544{col 37}{space 1}    3.62{col 46}{space 3}0.000{col 54}{space 4} .4627737{col 67}{space 3} 1.555471
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-2.382006{col 26}{space 2} 1.281718{col 37}{space 1}   -1.86{col 46}{space 3}0.063{col 54}{space 4}-4.894128{col 67}{space 3} .1301158
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.            estimates store M13
{txt}
{com}.            margins, at(enph = 0 legis11 = 0)
{res}
{txt}{col 1}Predictive margins{col 60}{lalign 13:Number of obs}{col 73} = {res}{ralign 3:561}
{txt}{col 1}Model VCE: {res:OIM}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Pr(gwf_democratization), predict()}{p_end}
{p2colreset}{...}
{lalign 4:At: }{space 0}{lalign 7:legis11} = {res:{ralign 1:0}}
{lalign 4:}{space 0}{lalign 7:enph} = {res:{ralign 1:0}}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}_cons {c |}{col 14}{res}{space 2} .0555431{col 26}{space 2} .0191417{col 37}{space 1}    2.90{col 46}{space 3}0.004{col 54}{space 4} .0180259{col 67}{space 3} .0930602
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.        margins, at(enph=(1(1)5) legis11 = 1)
{res}
{txt}{col 1}Predictive margins{col 60}{lalign 13:Number of obs}{col 73} = {res}{ralign 3:561}
{txt}{col 1}Model VCE: {res:OIM}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Pr(gwf_democratization), predict()}{p_end}
{p2colreset}{...}
{lalign 7:1._at: }{space 0}{lalign 7:legis11} = {res:{ralign 1:1}}
{lalign 7:}{space 0}{lalign 7:enph} = {res:{ralign 1:1}}
{lalign 7:2._at: }{space 0}{lalign 7:legis11} = {res:{ralign 1:1}}
{lalign 7:}{space 0}{lalign 7:enph} = {res:{ralign 1:2}}
{lalign 7:3._at: }{space 0}{lalign 7:legis11} = {res:{ralign 1:1}}
{lalign 7:}{space 0}{lalign 7:enph} = {res:{ralign 1:3}}
{lalign 7:4._at: }{space 0}{lalign 7:legis11} = {res:{ralign 1:1}}
{lalign 7:}{space 0}{lalign 7:enph} = {res:{ralign 1:4}}
{lalign 7:5._at: }{space 0}{lalign 7:legis11} = {res:{ralign 1:1}}
{lalign 7:}{space 0}{lalign 7:enph} = {res:{ralign 1:5}}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0140338{col 26}{space 2} .0066308{col 37}{space 1}    2.12{col 46}{space 3}0.034{col 54}{space 4} .0010376{col 67}{space 3} .0270299
{txt}{space 10}2  {c |}{col 14}{res}{space 2}  .035785{col 26}{space 2} .0113913{col 37}{space 1}    3.14{col 46}{space 3}0.002{col 54}{space 4} .0134583{col 67}{space 3} .0581116
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0853964{col 26}{space 2}  .027345{col 37}{space 1}    3.12{col 46}{space 3}0.002{col 54}{space 4} .0318012{col 67}{space 3} .1389915
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .1825065{col 26}{space 2} .0707148{col 37}{space 1}    2.58{col 46}{space 3}0.010{col 54}{space 4}  .043908{col 67}{space 3}  .321105
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .3347963{col 26}{space 2} .1370882{col 37}{space 1}    2.44{col 46}{space 3}0.015{col 54}{space 4} .0661083{col 67}{space 3} .6034843
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.        marginsplot, name("FA13", replace) title("A1.3 Full controls (GWF)", s(large)) $graphspecs scheme(plotpain)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:enph}{p_end}
(note: scheme plotpain not found, using s2color)
{res}{txt}
{com}.        graph save FA13 "FA13_GWF-allControls.gph", replace
{txt}{p 0 4 2}
(file {bf}
FA13_GWF-allControls.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:FA13_GWF-allControls.gph} saved

{com}. 
. * Figure A1.4 All Dictatorships, all controls
. replace age  = age_cgv
{txt}(534 real changes made)

{com}. replace age2 = age2_cgv
{txt}(534 real changes made)

{com}. replace age3 = age3_cgv
{txt}(534 real changes made)

{com}. logit cgv_democratization  $controls $fordicts c.enph                                      if a_1 == 1

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:  -122.717}  
Iteration 1:{space 2}Log likelihood = {res:-114.50173}  
Iteration 2:{space 2}Log likelihood = {res:-96.392742}  
Iteration 3:{space 2}Log likelihood = {res:-94.075734}  
Iteration 4:{space 2}Log likelihood = {res:-93.959756}  
Iteration 5:{space 2}Log likelihood = {res:-93.959573}  
Iteration 6:{space 2}Log likelihood = {res:-93.959573}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:561}
{txt}{col 57}{lalign 13:LR chi2({res:17})}{col 70} = {res}{ralign 6:57.51}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-93.959573}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.2343}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}cgv_democr~n{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}frag {c |}{col 14}{res}{space 2}-.4528228{col 26}{space 2} .7456338{col 37}{space 1}   -0.61{col 46}{space 3}0.544{col 54}{space 4}-1.914238{col 67}{space 3} 1.008593
{txt}{space 6}unrest {c |}{col 14}{res}{space 2}-.0731091{col 26}{space 2} .0854773{col 37}{space 1}   -0.86{col 46}{space 3}0.392{col 54}{space 4}-.2406415{col 67}{space 3} .0944233
{txt}{space 6}region {c |}{col 14}{res}{space 2} 3.659462{col 26}{space 2} 1.593903{col 37}{space 1}    2.30{col 46}{space 3}0.022{col 54}{space 4} .5354698{col 67}{space 3} 6.783454
{txt}{space 2}e_miinterc {c |}{col 14}{res}{space 2} .8810293{col 26}{space 2} .4655922{col 37}{space 1}    1.89{col 46}{space 3}0.058{col 54}{space 4}-.0315148{col 67}{space 3} 1.793573
{txt}{space 2}e_miinteco {c |}{col 14}{res}{space 2} 2.332758{col 26}{space 2} .9775215{col 37}{space 1}    2.39{col 46}{space 3}0.017{col 54}{space 4} .4168511{col 67}{space 3} 4.248665
{txt}{space 8}pgdp {c |}{col 14}{res}{space 2} .0509539{col 26}{space 2} .1305876{col 37}{space 1}    0.39{col 46}{space 3}0.696{col 54}{space 4}-.2049931{col 67}{space 3}  .306901
{txt}{space 7}gpgdp {c |}{col 14}{res}{space 2} 2.663158{col 26}{space 2} 4.701295{col 37}{space 1}    0.57{col 46}{space 3}0.571{col 54}{space 4}-6.551211{col 67}{space 3} 11.87753
{txt}{space 6}oilmin {c |}{col 14}{res}{space 2}-.1567086{col 26}{space 2} .5959903{col 37}{space 1}   -0.26{col 46}{space 3}0.793{col 54}{space 4}-1.324828{col 67}{space 3} 1.011411
{txt}{space 8}popm {c |}{col 14}{res}{space 2} .0123439{col 26}{space 2} .0122091{col 37}{space 1}    1.01{col 46}{space 3}0.312{col 54}{space 4}-.0115855{col 67}{space 3} .0362733
{txt}{space 3}al_ethnic {c |}{col 14}{res}{space 2}-.4920207{col 26}{space 2}  1.19063{col 37}{space 1}   -0.41{col 46}{space 3}0.679{col 54}{space 4}-2.825613{col 67}{space 3} 1.841572
{txt}{space 1}al_religion {c |}{col 14}{res}{space 2} -5.76676{col 26}{space 2}  2.19942{col 37}{space 1}   -2.62{col 46}{space 3}0.009{col 54}{space 4}-10.07754{col 67}{space 3}-1.455975
{txt}{space 9}age {c |}{col 14}{res}{space 2} .2262744{col 26}{space 2} .1579832{col 37}{space 1}    1.43{col 46}{space 3}0.152{col 54}{space 4}-.0833671{col 67}{space 3} .5359159
{txt}{space 8}age2 {c |}{col 14}{res}{space 2}-.0124231{col 26}{space 2} .0105669{col 37}{space 1}   -1.18{col 46}{space 3}0.240{col 54}{space 4}-.0331339{col 67}{space 3} .0082876
{txt}{space 8}age3 {c |}{col 14}{res}{space 2} .0001545{col 26}{space 2} .0001816{col 37}{space 1}    0.85{col 46}{space 3}0.395{col 54}{space 4}-.0002015{col 67}{space 3} .0005104
{txt}{space 3}1.legis11 {c |}{col 14}{res}{space 2}-3.260056{col 26}{space 2} .8938105{col 37}{space 1}   -3.65{col 46}{space 3}0.000{col 54}{space 4}-5.011893{col 67}{space 3} -1.50822
{txt}{space 4}personal {c |}{col 14}{res}{space 2}-1.732279{col 26}{space 2} .9550316{col 37}{space 1}   -1.81{col 46}{space 3}0.070{col 54}{space 4}-3.604106{col 67}{space 3} .1395488
{txt}{space 8}enph {c |}{col 14}{res}{space 2} 1.127745{col 26}{space 2} .2690264{col 37}{space 1}    4.19{col 46}{space 3}0.000{col 54}{space 4}  .600463{col 67}{space 3} 1.655027
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-2.672586{col 26}{space 2} 1.154016{col 37}{space 1}   -2.32{col 46}{space 3}0.021{col 54}{space 4}-4.934415{col 67}{space 3}-.4107572
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.        estimates store A43
{txt}
{com}.        margins, at(enph=(1(1)5) legis11 = 1)
{res}
{txt}{col 1}Predictive margins{col 60}{lalign 13:Number of obs}{col 73} = {res}{ralign 3:561}
{txt}{col 1}Model VCE: {res:OIM}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Pr(cgv_democratization), predict()}{p_end}
{p2colreset}{...}
{lalign 7:1._at: }{space 0}{lalign 7:legis11} = {res:{ralign 1:1}}
{lalign 7:}{space 0}{lalign 7:enph} = {res:{ralign 1:1}}
{lalign 7:2._at: }{space 0}{lalign 7:legis11} = {res:{ralign 1:1}}
{lalign 7:}{space 0}{lalign 7:enph} = {res:{ralign 1:2}}
{lalign 7:3._at: }{space 0}{lalign 7:legis11} = {res:{ralign 1:1}}
{lalign 7:}{space 0}{lalign 7:enph} = {res:{ralign 1:3}}
{lalign 7:4._at: }{space 0}{lalign 7:legis11} = {res:{ralign 1:1}}
{lalign 7:}{space 0}{lalign 7:enph} = {res:{ralign 1:4}}
{lalign 7:5._at: }{space 0}{lalign 7:legis11} = {res:{ralign 1:1}}
{lalign 7:}{space 0}{lalign 7:enph} = {res:{ralign 1:5}}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0113778{col 26}{space 2} .0057437{col 37}{space 1}    1.98{col 46}{space 3}0.048{col 54}{space 4} .0001205{col 67}{space 3} .0226352
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0326329{col 26}{space 2} .0108158{col 37}{space 1}    3.02{col 46}{space 3}0.003{col 54}{space 4} .0114342{col 67}{space 3} .0538316
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0865255{col 26}{space 2} .0253998{col 37}{space 1}    3.41{col 46}{space 3}0.001{col 54}{space 4} .0367427{col 67}{space 3} .1363082
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .2006005{col 26}{space 2} .0680498{col 37}{space 1}    2.95{col 46}{space 3}0.003{col 54}{space 4} .0672253{col 67}{space 3} .3339758
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .3833378{col 26}{space 2} .1328723{col 37}{space 1}    2.89{col 46}{space 3}0.004{col 54}{space 4} .1229128{col 67}{space 3} .6437627
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.        marginsplot, name("FA14CGV", replace) title("A1.4 Full controls (CGV)", s(large)) $graphspecs scheme(plotpain)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:enph}{p_end}
(note: scheme plotpain not found, using s2color)
{res}{txt}
{com}.        graph save FA14CGV "F14_CGV-allControls.gph", replace
{txt}{p 0 4 2}
(file {bf}
F14_CGV-allControls.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:F14_CGV-allControls.gph} saved

{com}. 
. * Figure A1.5 All Dictatorships, all controls
. replace age  = age_sv
{txt}(499 real changes made)

{com}. replace age2 = age2_sv
{txt}(499 real changes made)

{com}. replace age3 = age3_sv
{txt}(499 real changes made)

{com}. logit sv_democratization  $controls $fordicts c.enph                                            if a_1 == 1

{res}{txt}Iteration 0:{space 2}Log likelihood = {res:-95.989156}  
Iteration 1:{space 2}Log likelihood = {res:-75.459828}  
Iteration 2:{space 2}Log likelihood = {res: -66.16151}  
Iteration 3:{space 2}Log likelihood = {res:-65.513877}  
Iteration 4:{space 2}Log likelihood = {res:-65.498542}  
Iteration 5:{space 2}Log likelihood = {res:-65.498385}  
Iteration 6:{space 2}Log likelihood = {res:-65.498385}  
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:561}
{txt}{col 57}{lalign 13:LR chi2({res:17})}{col 70} = {res}{ralign 6:60.98}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 14:Log likelihood}{col 15} = {res}{ralign 10:-65.498385}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.3176}

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}sv_democra~n{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}frag {c |}{col 14}{res}{space 2}-.2534007{col 26}{space 2} .9713663{col 37}{space 1}   -0.26{col 46}{space 3}0.794{col 54}{space 4}-2.157244{col 67}{space 3} 1.650442
{txt}{space 6}unrest {c |}{col 14}{res}{space 2}-.0969867{col 26}{space 2} .1140263{col 37}{space 1}   -0.85{col 46}{space 3}0.395{col 54}{space 4} -.320474{col 67}{space 3} .1265007
{txt}{space 6}region {c |}{col 14}{res}{space 2} 5.081831{col 26}{space 2} 2.085127{col 37}{space 1}    2.44{col 46}{space 3}0.015{col 54}{space 4} .9950567{col 67}{space 3} 9.168606
{txt}{space 2}e_miinterc {c |}{col 14}{res}{space 2} .2447607{col 26}{space 2} .6107107{col 37}{space 1}    0.40{col 46}{space 3}0.689{col 54}{space 4}-.9522103{col 67}{space 3} 1.441732
{txt}{space 2}e_miinteco {c |}{col 14}{res}{space 2} 1.073087{col 26}{space 2} 1.061145{col 37}{space 1}    1.01{col 46}{space 3}0.312{col 54}{space 4} -1.00672{col 67}{space 3} 3.152893
{txt}{space 8}pgdp {c |}{col 14}{res}{space 2} .2193941{col 26}{space 2} .1546333{col 37}{space 1}    1.42{col 46}{space 3}0.156{col 54}{space 4}-.0836816{col 67}{space 3} .5224697
{txt}{space 7}gpgdp {c |}{col 14}{res}{space 2}-8.600954{col 26}{space 2} 5.632888{col 37}{space 1}   -1.53{col 46}{space 3}0.127{col 54}{space 4}-19.64121{col 67}{space 3} 2.439303
{txt}{space 6}oilmin {c |}{col 14}{res}{space 2}  -.00191{col 26}{space 2} .7238726{col 37}{space 1}   -0.00{col 46}{space 3}0.998{col 54}{space 4}-1.420674{col 67}{space 3} 1.416854
{txt}{space 8}popm {c |}{col 14}{res}{space 2} .0133718{col 26}{space 2}  .023841{col 37}{space 1}    0.56{col 46}{space 3}0.575{col 54}{space 4}-.0333557{col 67}{space 3} .0600992
{txt}{space 3}al_ethnic {c |}{col 14}{res}{space 2}-1.022851{col 26}{space 2} 1.450815{col 37}{space 1}   -0.71{col 46}{space 3}0.481{col 54}{space 4}-3.866398{col 67}{space 3} 1.820695
{txt}{space 1}al_religion {c |}{col 14}{res}{space 2}-12.07068{col 26}{space 2} 3.497922{col 37}{space 1}   -3.45{col 46}{space 3}0.001{col 54}{space 4}-18.92648{col 67}{space 3}-5.214875
{txt}{space 9}age {c |}{col 14}{res}{space 2} .4242982{col 26}{space 2} .1768706{col 37}{space 1}    2.40{col 46}{space 3}0.016{col 54}{space 4} .0776383{col 67}{space 3} .7709582
{txt}{space 8}age2 {c |}{col 14}{res}{space 2} -.021153{col 26}{space 2} .0102282{col 37}{space 1}   -2.07{col 46}{space 3}0.039{col 54}{space 4}-.0411998{col 67}{space 3}-.0011061
{txt}{space 8}age3 {c |}{col 14}{res}{space 2}  .000216{col 26}{space 2} .0001418{col 37}{space 1}    1.52{col 46}{space 3}0.128{col 54}{space 4}-.0000619{col 67}{space 3}  .000494
{txt}{space 3}1.legis11 {c |}{col 14}{res}{space 2}-2.703236{col 26}{space 2}  .994083{col 37}{space 1}   -2.72{col 46}{space 3}0.007{col 54}{space 4}-4.651602{col 67}{space 3}-.7548686
{txt}{space 4}personal {c |}{col 14}{res}{space 2}-.9632241{col 26}{space 2} .9079666{col 37}{space 1}   -1.06{col 46}{space 3}0.289{col 54}{space 4}-2.742806{col 67}{space 3} .8163578
{txt}{space 8}enph {c |}{col 14}{res}{space 2} 1.144946{col 26}{space 2}  .325661{col 37}{space 1}    3.52{col 46}{space 3}0.000{col 54}{space 4} .5066625{col 67}{space 3}  1.78323
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-2.848487{col 26}{space 2} 1.495003{col 37}{space 1}   -1.91{col 46}{space 3}0.057{col 54}{space 4} -5.77864{col 67}{space 3} .0816655
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.        estimates store A53
{txt}
{com}.        margins, at(enph=(1(1)5) legis11 = 1)
{res}
{txt}{col 1}Predictive margins{col 60}{lalign 13:Number of obs}{col 73} = {res}{ralign 3:561}
{txt}{col 1}Model VCE: {res:OIM}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Pr(sv_democratization), predict()}{p_end}
{p2colreset}{...}
{lalign 7:1._at: }{space 0}{lalign 7:legis11} = {res:{ralign 1:1}}
{lalign 7:}{space 0}{lalign 7:enph} = {res:{ralign 1:1}}
{lalign 7:2._at: }{space 0}{lalign 7:legis11} = {res:{ralign 1:1}}
{lalign 7:}{space 0}{lalign 7:enph} = {res:{ralign 1:2}}
{lalign 7:3._at: }{space 0}{lalign 7:legis11} = {res:{ralign 1:1}}
{lalign 7:}{space 0}{lalign 7:enph} = {res:{ralign 1:3}}
{lalign 7:4._at: }{space 0}{lalign 7:legis11} = {res:{ralign 1:1}}
{lalign 7:}{space 0}{lalign 7:enph} = {res:{ralign 1:4}}
{lalign 7:5._at: }{space 0}{lalign 7:legis11} = {res:{ralign 1:1}}
{lalign 7:}{space 0}{lalign 7:enph} = {res:{ralign 1:5}}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0103291{col 26}{space 2} .0056466{col 37}{space 1}    1.83{col 46}{space 3}0.067{col 54}{space 4}-.0007381{col 67}{space 3} .0213964
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0291391{col 26}{space 2} .0107546{col 37}{space 1}    2.71{col 46}{space 3}0.007{col 54}{space 4} .0080605{col 67}{space 3} .0502177
{txt}{space 10}3  {c |}{col 14}{res}{space 2}  .074556{col 26}{space 2} .0264005{col 37}{space 1}    2.82{col 46}{space 3}0.005{col 54}{space 4}  .022812{col 67}{space 3}    .1263
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .1644997{col 26}{space 2} .0665806{col 37}{space 1}    2.47{col 46}{space 3}0.013{col 54}{space 4} .0340042{col 67}{space 3} .2949952
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .3033248{col 26}{space 2} .1261476{col 37}{space 1}    2.40{col 46}{space 3}0.016{col 54}{space 4}   .05608{col 67}{space 3} .5505695
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.        marginsplot, name("FA15SV", replace) title("A1.5 Full controls (Svolik)", s(large)) $graphspecs scheme(plotpain)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:enph}{p_end}
(note: scheme plotpain not found, using s2color)
{res}{txt}
{com}.        graph save FA15SV "FA15_SV-allControls.gph", replace
{txt}{p 0 4 2}
(file {bf}
FA15_SV-allControls.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:FA15_SV-allControls.gph} saved

{com}. 
. * Merge graphs: Risk of Regime Termination, for Dictatorships
. graph combine FA11_GWF-Baseline.gph FA12_GWF-Pretreatment.gph FA13_GWF-allControls.gph F14_CGV-allControls.gph FA15_SV-allControls.gph, ycommon rows(1) xsize(8) ysize(4)
{res}{txt}
{com}. graph save "Figure_A1.gph", replace
{txt}{p 0 4 2}
(file {bf}
Figure_A1.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:Figure_A1.gph} saved

{com}. graph export Figure_A1.png, replace width(1100) height(450)
{txt}{p 0 4 2}
(file {bf}
Figure_A1.png{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
Figure_A1.png{rm}
saved as
PNG
format
{p_end}

{com}. 
. 
. ******************* Figure A2: SURVIVAL PLOT
. * Set survival data
. replace age  = age_gwf
{txt}(522 real changes made)

{com}. * Step 1: Authoritarian Breakdown
. stset age, failure(end1_gwf)

{txt}Survival-time data settings

{col 10}Failure event: {res}end1_gwf!=0 & end1_gwf<.
{col 1}{txt}Observed time interval: {res}(0, age]
{col 6}{txt}Exit on or before: {res}failure

{txt}{hline 74}
{res}      1,320{txt}  total observations
{res}          0{txt}  exclusions
{hline 74}
{res}      1,320{txt}  observations remaining, representing
{res}         98{txt}  failures in single-record/single-failure data
{res}     20,329{txt}  total analysis time at risk and under observation
                                                At risk from t = {res}        0
                                     {txt}Earliest observed entry t = {res}        0
                                          {txt}Last observed exit t = {res}       71
{txt}
{com}. sts graph if age <= 50 & a_1 == 1, by(enph_group) ///
>      ytitle("Survival Probability") xtitle("Regime Age") ///
>      title("(a) Authoritarian Breakdown", size(medium)) ///
>      legend(off) ///
>      name(auth_breakdown, replace)

{col 9}{txt}Failure {bf:_d}: {res}end1_gwf
{col 3}{txt}Analysis time {bf:_t}: {res}age
{txt}
{com}. 
. * Step 2: Bottom-Up Democratization
. stset age, failure(gwf_bottomup)

{txt}Survival-time data settings

{col 10}Failure event: {res}gwf_bottomup!=0 & gwf_bottomup<.
{col 1}{txt}Observed time interval: {res}(0, age]
{col 6}{txt}Exit on or before: {res}failure

{txt}{hline 74}
{res}      1,320{txt}  total observations
{res}          0{txt}  exclusions
{hline 74}
{res}      1,320{txt}  observations remaining, representing
{res}          5{txt}  failures in single-record/single-failure data
{res}     20,329{txt}  total analysis time at risk and under observation
                                                At risk from t = {res}        0
                                     {txt}Earliest observed entry t = {res}        0
                                          {txt}Last observed exit t = {res}       71
{txt}
{com}. sts graph if age <= 50 & a_1 == 1, by(enph_group) ///
>     ytitle("Survival Probability") xtitle("Regime Age") ///
>     title("(b) Bottom-Up Democratization", size(medium)) ///
>     legend(rows(1) label(1 "ENP ≤ 1") label(2 "1 < ENP ≤ 2") label(3 "ENP > 2")) ///
>     name(bottomup, replace)

{col 9}{txt}Failure {bf:_d}: {res}gwf_bottomup
{col 3}{txt}Analysis time {bf:_t}: {res}age
{txt}
{com}. 
. * Step 3: Top-Down Democratization
. stset age, failure(gwf_topdown)

{txt}Survival-time data settings

{col 10}Failure event: {res}gwf_topdown!=0 & gwf_topdown<.
{col 1}{txt}Observed time interval: {res}(0, age]
{col 6}{txt}Exit on or before: {res}failure

{txt}{hline 74}
{res}      1,320{txt}  total observations
{res}          0{txt}  exclusions
{hline 74}
{res}      1,320{txt}  observations remaining, representing
{res}         21{txt}  failures in single-record/single-failure data
{res}     20,329{txt}  total analysis time at risk and under observation
                                                At risk from t = {res}        0
                                     {txt}Earliest observed entry t = {res}        0
                                          {txt}Last observed exit t = {res}       71
{txt}
{com}. sts graph if age <= 50 & a_1 == 1, by(enph_group) ///
>     ytitle("") xtitle("Regime Age") ///
>     title("(c) Top-Down Democratization", size(medium)) ///
>     legend(off) ///
>     name(topdown, replace)

{col 9}{txt}Failure {bf:_d}: {res}gwf_topdown
{col 3}{txt}Analysis time {bf:_t}: {res}age
{txt}
{com}. 
. * Merge and save        
. grc1leg auth_breakdown bottomup topdown, legendfrom(bottomup) cols(3) ///
>         graphregion(color(white)) name(survival_km_combined, replace)
{res}{txt}
{com}. graph export "Survival_ENPH_Combined_LegendBottom.png", width(3000) replace
{txt}{p 0 4 2}
(file {bf}
Survival_ENPH_Combined_LegendBottom.png{rm}
not found)
{p_end}
{p 0 4 2}
file {bf}
Survival_ENPH_Combined_LegendBottom.png{rm}
saved as
PNG
format
{p_end}

{com}. 
.           
. *** Correlation between pre1945 electoral systems, contemporary systems, and democratization
. cor ef_pre1945 ef1 if a_1 == 1
{txt}(obs=420)

             {c |} ef_~1945      ef1
{hline 13}{c +}{hline 18}
  ef_pre1945 {c |}{res}   1.0000
         {txt}ef1 {c |}{res}   0.2368   1.0000

{txt}
{com}. cor ef_pre1945 end1_gwf if a_1 == 1
{txt}(obs=584)

             {c |} ef_~1945 end1_gwf
{hline 13}{c +}{hline 18}
  ef_pre1945 {c |}{res}   1.0000
    {txt}end1_gwf {c |}{res}   0.0302   1.0000

{txt}
{com}. 
. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}G:\My Drive\Regimes - Anibal & Natan\PSRM\PSRM Replication Data\replication_log_PreemptiveMultipartism.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}16 Jul 2025, 10:55:39
{txt}{.-}
{smcl}
{txt}{sf}{ul off}